Upload 9 files
Browse files- config.json +49 -0
- generation_config.json +249 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- preprocessor_config.json +14 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +3693 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "openai/whisper-large-v3-turbo",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"activation_function": "gelu",
|
5 |
+
"apply_spec_augment": false,
|
6 |
+
"architectures": [
|
7 |
+
"WhisperForConditionalGeneration"
|
8 |
+
],
|
9 |
+
"attention_dropout": 0.0,
|
10 |
+
"begin_suppress_tokens": [
|
11 |
+
220,
|
12 |
+
50256
|
13 |
+
],
|
14 |
+
"bos_token_id": 50257,
|
15 |
+
"classifier_proj_size": 256,
|
16 |
+
"d_model": 1280,
|
17 |
+
"decoder_attention_heads": 20,
|
18 |
+
"decoder_ffn_dim": 5120,
|
19 |
+
"decoder_layerdrop": 0.0,
|
20 |
+
"decoder_layers": 4,
|
21 |
+
"decoder_start_token_id": 50258,
|
22 |
+
"dropout": 0.0,
|
23 |
+
"encoder_attention_heads": 20,
|
24 |
+
"encoder_ffn_dim": 5120,
|
25 |
+
"encoder_layerdrop": 0.0,
|
26 |
+
"encoder_layers": 32,
|
27 |
+
"eos_token_id": 50257,
|
28 |
+
"init_std": 0.02,
|
29 |
+
"is_encoder_decoder": true,
|
30 |
+
"mask_feature_length": 10,
|
31 |
+
"mask_feature_min_masks": 0,
|
32 |
+
"mask_feature_prob": 0.0,
|
33 |
+
"mask_time_length": 10,
|
34 |
+
"mask_time_min_masks": 2,
|
35 |
+
"mask_time_prob": 0.05,
|
36 |
+
"max_source_positions": 1500,
|
37 |
+
"max_target_positions": 448,
|
38 |
+
"median_filter_width": 7,
|
39 |
+
"model_type": "whisper",
|
40 |
+
"num_hidden_layers": 32,
|
41 |
+
"num_mel_bins": 128,
|
42 |
+
"pad_token_id": 50257,
|
43 |
+
"scale_embedding": false,
|
44 |
+
"torch_dtype": "float32",
|
45 |
+
"transformers_version": "4.44.2",
|
46 |
+
"use_cache": true,
|
47 |
+
"use_weighted_layer_sum": false,
|
48 |
+
"vocab_size": 51866
|
49 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,249 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alignment_heads": [
|
3 |
+
[
|
4 |
+
2,
|
5 |
+
4
|
6 |
+
],
|
7 |
+
[
|
8 |
+
2,
|
9 |
+
11
|
10 |
+
],
|
11 |
+
[
|
12 |
+
3,
|
13 |
+
3
|
14 |
+
],
|
15 |
+
[
|
16 |
+
3,
|
17 |
+
6
|
18 |
+
],
|
19 |
+
[
|
20 |
+
3,
|
21 |
+
11
|
22 |
+
],
|
23 |
+
[
|
24 |
+
3,
|
25 |
+
14
|
26 |
+
]
|
27 |
+
],
|
28 |
+
"begin_suppress_tokens": [
|
29 |
+
220,
|
30 |
+
50257
|
31 |
+
],
|
32 |
+
"bos_token_id": 50257,
|
33 |
+
"decoder_start_token_id": 50258,
|
34 |
+
"eos_token_id": 50257,
|
35 |
+
"forced_decoder_ids": [
|
36 |
+
[
|
37 |
+
1,
|
38 |
+
null
|
39 |
+
],
|
40 |
+
[
|
41 |
+
2,
|
42 |
+
50360
|
43 |
+
]
|
44 |
+
],
|
45 |
+
"is_multilingual": true,
|
46 |
+
"lang_to_id": {
|
47 |
+
"<|af|>": 50327,
|
48 |
+
"<|am|>": 50334,
|
49 |
+
"<|ar|>": 50272,
|
50 |
+
"<|as|>": 50350,
|
51 |
+
"<|az|>": 50304,
|
52 |
+
"<|ba|>": 50355,
|
53 |
+
"<|be|>": 50330,
|
54 |
+
"<|bg|>": 50292,
|
55 |
+
"<|bn|>": 50302,
|
56 |
+
"<|bo|>": 50347,
|
57 |
+
"<|br|>": 50309,
|
58 |
+
"<|bs|>": 50315,
|
59 |
+
"<|ca|>": 50270,
|
60 |
+
"<|cs|>": 50283,
|
61 |
+
"<|cy|>": 50297,
|
62 |
+
"<|da|>": 50285,
|
63 |
+
"<|de|>": 50261,
|
64 |
+
"<|el|>": 50281,
|
65 |
+
"<|en|>": 50259,
|
66 |
+
"<|es|>": 50262,
|
67 |
+
"<|et|>": 50307,
|
68 |
+
"<|eu|>": 50310,
|
69 |
+
"<|fa|>": 50300,
|
70 |
+
"<|fi|>": 50277,
|
71 |
+
"<|fo|>": 50338,
|
72 |
+
"<|fr|>": 50265,
|
73 |
+
"<|gl|>": 50319,
|
74 |
+
"<|gu|>": 50333,
|
75 |
+
"<|haw|>": 50352,
|
76 |
+
"<|ha|>": 50354,
|
77 |
+
"<|he|>": 50279,
|
78 |
+
"<|hi|>": 50276,
|
79 |
+
"<|hr|>": 50291,
|
80 |
+
"<|ht|>": 50339,
|
81 |
+
"<|hu|>": 50286,
|
82 |
+
"<|hy|>": 50312,
|
83 |
+
"<|id|>": 50275,
|
84 |
+
"<|is|>": 50311,
|
85 |
+
"<|it|>": 50274,
|
86 |
+
"<|ja|>": 50266,
|
87 |
+
"<|jw|>": 50356,
|
88 |
+
"<|ka|>": 50329,
|
89 |
+
"<|kk|>": 50316,
|
90 |
+
"<|km|>": 50323,
|
91 |
+
"<|kn|>": 50306,
|
92 |
+
"<|ko|>": 50264,
|
93 |
+
"<|la|>": 50294,
|
94 |
+
"<|lb|>": 50345,
|
95 |
+
"<|ln|>": 50353,
|
96 |
+
"<|lo|>": 50336,
|
97 |
+
"<|lt|>": 50293,
|
98 |
+
"<|lv|>": 50301,
|
99 |
+
"<|mg|>": 50349,
|
100 |
+
"<|mi|>": 50295,
|
101 |
+
"<|mk|>": 50308,
|
102 |
+
"<|ml|>": 50296,
|
103 |
+
"<|mn|>": 50314,
|
104 |
+
"<|mr|>": 50320,
|
105 |
+
"<|ms|>": 50282,
|
106 |
+
"<|mt|>": 50343,
|
107 |
+
"<|my|>": 50346,
|
108 |
+
"<|ne|>": 50313,
|
109 |
+
"<|nl|>": 50271,
|
110 |
+
"<|nn|>": 50342,
|
111 |
+
"<|no|>": 50288,
|
112 |
+
"<|oc|>": 50328,
|
113 |
+
"<|pa|>": 50321,
|
114 |
+
"<|pl|>": 50269,
|
115 |
+
"<|ps|>": 50340,
|
116 |
+
"<|pt|>": 50267,
|
117 |
+
"<|ro|>": 50284,
|
118 |
+
"<|ru|>": 50263,
|
119 |
+
"<|sa|>": 50344,
|
120 |
+
"<|sd|>": 50332,
|
121 |
+
"<|si|>": 50322,
|
122 |
+
"<|sk|>": 50298,
|
123 |
+
"<|sl|>": 50305,
|
124 |
+
"<|sn|>": 50324,
|
125 |
+
"<|so|>": 50326,
|
126 |
+
"<|sq|>": 50317,
|
127 |
+
"<|sr|>": 50303,
|
128 |
+
"<|su|>": 50357,
|
129 |
+
"<|sv|>": 50273,
|
130 |
+
"<|sw|>": 50318,
|
131 |
+
"<|ta|>": 50287,
|
132 |
+
"<|te|>": 50299,
|
133 |
+
"<|tg|>": 50331,
|
134 |
+
"<|th|>": 50289,
|
135 |
+
"<|tk|>": 50341,
|
136 |
+
"<|tl|>": 50348,
|
137 |
+
"<|tr|>": 50268,
|
138 |
+
"<|tt|>": 50351,
|
139 |
+
"<|uk|>": 50280,
|
140 |
+
"<|ur|>": 50290,
|
141 |
+
"<|uz|>": 50337,
|
142 |
+
"<|vi|>": 50278,
|
143 |
+
"<|yi|>": 50335,
|
144 |
+
"<|yo|>": 50325,
|
145 |
+
"<|yue|>": 50358,
|
146 |
+
"<|zh|>": 50260
|
147 |
+
},
|
148 |
+
"max_initial_timestamp_index": 50,
|
149 |
+
"max_length": 448,
|
150 |
+
"no_timestamps_token_id": 50364,
|
151 |
+
"pad_token_id": 50257,
|
152 |
+
"prev_sot_token_id": 50362,
|
153 |
+
"return_timestamps": false,
|
154 |
+
"suppress_tokens": [
|
155 |
+
1,
|
156 |
+
2,
|
157 |
+
7,
|
158 |
+
8,
|
159 |
+
9,
|
160 |
+
10,
|
161 |
+
14,
|
162 |
+
25,
|
163 |
+
26,
|
164 |
+
27,
|
165 |
+
28,
|
166 |
+
29,
|
167 |
+
31,
|
168 |
+
58,
|
169 |
+
59,
|
170 |
+
60,
|
171 |
+
61,
|
172 |
+
62,
|
173 |
+
63,
|
174 |
+
90,
|
175 |
+
91,
|
176 |
+
92,
|
177 |
+
93,
|
178 |
+
359,
|
179 |
+
503,
|
180 |
+
522,
|
181 |
+
542,
|
182 |
+
873,
|
183 |
+
893,
|
184 |
+
902,
|
185 |
+
918,
|
186 |
+
922,
|
187 |
+
931,
|
188 |
+
1350,
|
189 |
+
1853,
|
190 |
+
1982,
|
191 |
+
2460,
|
192 |
+
2627,
|
193 |
+
3246,
|
194 |
+
3253,
|
195 |
+
3268,
|
196 |
+
3536,
|
197 |
+
3846,
|
198 |
+
3961,
|
199 |
+
4183,
|
200 |
+
4667,
|
201 |
+
6585,
|
202 |
+
6647,
|
203 |
+
7273,
|
204 |
+
9061,
|
205 |
+
9383,
|
206 |
+
10428,
|
207 |
+
10929,
|
208 |
+
11938,
|
209 |
+
12033,
|
210 |
+
12331,
|
211 |
+
12562,
|
212 |
+
13793,
|
213 |
+
14157,
|
214 |
+
14635,
|
215 |
+
15265,
|
216 |
+
15618,
|
217 |
+
16553,
|
218 |
+
16604,
|
219 |
+
18362,
|
220 |
+
18956,
|
221 |
+
20075,
|
222 |
+
21675,
|
223 |
+
22520,
|
224 |
+
26130,
|
225 |
+
26161,
|
226 |
+
26435,
|
227 |
+
28279,
|
228 |
+
29464,
|
229 |
+
31650,
|
230 |
+
32302,
|
231 |
+
32470,
|
232 |
+
36865,
|
233 |
+
42863,
|
234 |
+
47425,
|
235 |
+
49870,
|
236 |
+
50254,
|
237 |
+
50258,
|
238 |
+
50359,
|
239 |
+
50360,
|
240 |
+
50361,
|
241 |
+
50362,
|
242 |
+
50363
|
243 |
+
],
|
244 |
+
"task_to_id": {
|
245 |
+
"transcribe": 50360,
|
246 |
+
"translate": 50359
|
247 |
+
},
|
248 |
+
"transformers_version": "4.44.2"
|
249 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76b7de8fb3536b10815da091f55a9f88b77e28e9d91111714316da71e01f2227
|
3 |
+
size 3235581408
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:99973b36b4b8f95cfaa8582fcd299b862cc8eab46daaaf40a78b796fe58edf32
|
3 |
+
size 1642743078
|
preprocessor_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"chunk_length": 30,
|
3 |
+
"feature_extractor_type": "WhisperFeatureExtractor",
|
4 |
+
"feature_size": 128,
|
5 |
+
"hop_length": 160,
|
6 |
+
"n_fft": 400,
|
7 |
+
"n_samples": 480000,
|
8 |
+
"nb_max_frames": 3000,
|
9 |
+
"padding_side": "right",
|
10 |
+
"padding_value": 0.0,
|
11 |
+
"processor_class": "WhisperProcessor",
|
12 |
+
"return_attention_mask": false,
|
13 |
+
"sampling_rate": 16000
|
14 |
+
}
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f905e6d259feac89b66bb266cc1afab133022b590943f1a7b0ae0c887320645d
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:66da107d9c6c269be6ca1e279bf2b1451a412bfe47928d09c57c302ba4021cb9
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,3693 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.03668233007192612,
|
3 |
+
"best_model_checkpoint": "./susurro-model/checkpoint-3500",
|
4 |
+
"epoch": 8.0,
|
5 |
+
"eval_steps": 250,
|
6 |
+
"global_step": 5000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.016,
|
13 |
+
"grad_norm": 22.783082962036133,
|
14 |
+
"learning_rate": 4.0000000000000003e-07,
|
15 |
+
"loss": 1.4707,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.032,
|
20 |
+
"grad_norm": 15.918609619140625,
|
21 |
+
"learning_rate": 8.000000000000001e-07,
|
22 |
+
"loss": 1.1318,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.048,
|
27 |
+
"grad_norm": 6.734115123748779,
|
28 |
+
"learning_rate": 1.2000000000000002e-06,
|
29 |
+
"loss": 0.566,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.064,
|
34 |
+
"grad_norm": 4.893101692199707,
|
35 |
+
"learning_rate": 1.6000000000000001e-06,
|
36 |
+
"loss": 0.3064,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.08,
|
41 |
+
"grad_norm": 4.515320777893066,
|
42 |
+
"learning_rate": 2.0000000000000003e-06,
|
43 |
+
"loss": 0.1913,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.096,
|
48 |
+
"grad_norm": 2.93345046043396,
|
49 |
+
"learning_rate": 2.4000000000000003e-06,
|
50 |
+
"loss": 0.0643,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.112,
|
55 |
+
"grad_norm": 1.9217101335525513,
|
56 |
+
"learning_rate": 2.8000000000000003e-06,
|
57 |
+
"loss": 0.0534,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.128,
|
62 |
+
"grad_norm": 2.2198150157928467,
|
63 |
+
"learning_rate": 3.2000000000000003e-06,
|
64 |
+
"loss": 0.0547,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.144,
|
69 |
+
"grad_norm": 1.7477046251296997,
|
70 |
+
"learning_rate": 3.6000000000000003e-06,
|
71 |
+
"loss": 0.0376,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.16,
|
76 |
+
"grad_norm": 2.2940073013305664,
|
77 |
+
"learning_rate": 4.000000000000001e-06,
|
78 |
+
"loss": 0.0414,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.176,
|
83 |
+
"grad_norm": 2.83594012260437,
|
84 |
+
"learning_rate": 4.4e-06,
|
85 |
+
"loss": 0.0501,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.192,
|
90 |
+
"grad_norm": 1.6579861640930176,
|
91 |
+
"learning_rate": 4.800000000000001e-06,
|
92 |
+
"loss": 0.0483,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.208,
|
97 |
+
"grad_norm": 2.768068313598633,
|
98 |
+
"learning_rate": 5.2e-06,
|
99 |
+
"loss": 0.0504,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.224,
|
104 |
+
"grad_norm": 1.8856732845306396,
|
105 |
+
"learning_rate": 5.600000000000001e-06,
|
106 |
+
"loss": 0.0452,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.24,
|
111 |
+
"grad_norm": 2.343675374984741,
|
112 |
+
"learning_rate": 6e-06,
|
113 |
+
"loss": 0.0527,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.256,
|
118 |
+
"grad_norm": 2.380032539367676,
|
119 |
+
"learning_rate": 6.4000000000000006e-06,
|
120 |
+
"loss": 0.0488,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.272,
|
125 |
+
"grad_norm": 2.847942352294922,
|
126 |
+
"learning_rate": 6.800000000000001e-06,
|
127 |
+
"loss": 0.0481,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.288,
|
132 |
+
"grad_norm": 2.505783796310425,
|
133 |
+
"learning_rate": 7.2000000000000005e-06,
|
134 |
+
"loss": 0.0525,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.304,
|
139 |
+
"grad_norm": 2.4004359245300293,
|
140 |
+
"learning_rate": 7.600000000000001e-06,
|
141 |
+
"loss": 0.0475,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.32,
|
146 |
+
"grad_norm": 2.5646846294403076,
|
147 |
+
"learning_rate": 8.000000000000001e-06,
|
148 |
+
"loss": 0.0541,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.336,
|
153 |
+
"grad_norm": 2.2978780269622803,
|
154 |
+
"learning_rate": 8.400000000000001e-06,
|
155 |
+
"loss": 0.056,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.352,
|
160 |
+
"grad_norm": 1.9104993343353271,
|
161 |
+
"learning_rate": 8.8e-06,
|
162 |
+
"loss": 0.0507,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.368,
|
167 |
+
"grad_norm": 3.259106397628784,
|
168 |
+
"learning_rate": 9.200000000000002e-06,
|
169 |
+
"loss": 0.0599,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.384,
|
174 |
+
"grad_norm": 1.9815133810043335,
|
175 |
+
"learning_rate": 9.600000000000001e-06,
|
176 |
+
"loss": 0.0531,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.4,
|
181 |
+
"grad_norm": 2.202136278152466,
|
182 |
+
"learning_rate": 1e-05,
|
183 |
+
"loss": 0.0494,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.4,
|
188 |
+
"eval_loss": 0.0524754524230957,
|
189 |
+
"eval_runtime": 1455.6988,
|
190 |
+
"eval_samples_per_second": 3.876,
|
191 |
+
"eval_steps_per_second": 3.876,
|
192 |
+
"step": 250
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 0.416,
|
196 |
+
"grad_norm": 2.5911672115325928,
|
197 |
+
"learning_rate": 9.978947368421053e-06,
|
198 |
+
"loss": 0.0512,
|
199 |
+
"step": 260
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 0.432,
|
203 |
+
"grad_norm": 1.6327568292617798,
|
204 |
+
"learning_rate": 9.957894736842106e-06,
|
205 |
+
"loss": 0.0485,
|
206 |
+
"step": 270
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.448,
|
210 |
+
"grad_norm": 2.290238380432129,
|
211 |
+
"learning_rate": 9.936842105263159e-06,
|
212 |
+
"loss": 0.0586,
|
213 |
+
"step": 280
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.464,
|
217 |
+
"grad_norm": 2.7893710136413574,
|
218 |
+
"learning_rate": 9.915789473684211e-06,
|
219 |
+
"loss": 0.0597,
|
220 |
+
"step": 290
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 0.48,
|
224 |
+
"grad_norm": 2.4395689964294434,
|
225 |
+
"learning_rate": 9.894736842105264e-06,
|
226 |
+
"loss": 0.0596,
|
227 |
+
"step": 300
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.496,
|
231 |
+
"grad_norm": 2.9003653526306152,
|
232 |
+
"learning_rate": 9.873684210526317e-06,
|
233 |
+
"loss": 0.0551,
|
234 |
+
"step": 310
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.512,
|
238 |
+
"grad_norm": 2.7941534519195557,
|
239 |
+
"learning_rate": 9.85263157894737e-06,
|
240 |
+
"loss": 0.0579,
|
241 |
+
"step": 320
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.528,
|
245 |
+
"grad_norm": 2.705819845199585,
|
246 |
+
"learning_rate": 9.831578947368422e-06,
|
247 |
+
"loss": 0.059,
|
248 |
+
"step": 330
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.544,
|
252 |
+
"grad_norm": 3.2800068855285645,
|
253 |
+
"learning_rate": 9.810526315789475e-06,
|
254 |
+
"loss": 0.0649,
|
255 |
+
"step": 340
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.56,
|
259 |
+
"grad_norm": 1.8395154476165771,
|
260 |
+
"learning_rate": 9.789473684210527e-06,
|
261 |
+
"loss": 0.0487,
|
262 |
+
"step": 350
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 0.576,
|
266 |
+
"grad_norm": 2.447082757949829,
|
267 |
+
"learning_rate": 9.76842105263158e-06,
|
268 |
+
"loss": 0.0552,
|
269 |
+
"step": 360
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.592,
|
273 |
+
"grad_norm": 2.2035391330718994,
|
274 |
+
"learning_rate": 9.747368421052633e-06,
|
275 |
+
"loss": 0.0505,
|
276 |
+
"step": 370
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.608,
|
280 |
+
"grad_norm": 3.010380506515503,
|
281 |
+
"learning_rate": 9.726315789473685e-06,
|
282 |
+
"loss": 0.0717,
|
283 |
+
"step": 380
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.624,
|
287 |
+
"grad_norm": 2.2279305458068848,
|
288 |
+
"learning_rate": 9.705263157894738e-06,
|
289 |
+
"loss": 0.0574,
|
290 |
+
"step": 390
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.64,
|
294 |
+
"grad_norm": 2.1078450679779053,
|
295 |
+
"learning_rate": 9.68421052631579e-06,
|
296 |
+
"loss": 0.0549,
|
297 |
+
"step": 400
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.656,
|
301 |
+
"grad_norm": 1.9342560768127441,
|
302 |
+
"learning_rate": 9.663157894736843e-06,
|
303 |
+
"loss": 0.055,
|
304 |
+
"step": 410
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 0.672,
|
308 |
+
"grad_norm": 2.2525532245635986,
|
309 |
+
"learning_rate": 9.642105263157896e-06,
|
310 |
+
"loss": 0.0562,
|
311 |
+
"step": 420
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 0.688,
|
315 |
+
"grad_norm": 1.9181652069091797,
|
316 |
+
"learning_rate": 9.621052631578947e-06,
|
317 |
+
"loss": 0.0561,
|
318 |
+
"step": 430
|
319 |
+
},
|
320 |
+
{
|
321 |
+
"epoch": 0.704,
|
322 |
+
"grad_norm": 2.088951826095581,
|
323 |
+
"learning_rate": 9.600000000000001e-06,
|
324 |
+
"loss": 0.0575,
|
325 |
+
"step": 440
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.72,
|
329 |
+
"grad_norm": 2.951388120651245,
|
330 |
+
"learning_rate": 9.578947368421054e-06,
|
331 |
+
"loss": 0.0503,
|
332 |
+
"step": 450
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.736,
|
336 |
+
"grad_norm": 2.5841259956359863,
|
337 |
+
"learning_rate": 9.557894736842107e-06,
|
338 |
+
"loss": 0.0613,
|
339 |
+
"step": 460
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.752,
|
343 |
+
"grad_norm": 3.1597883701324463,
|
344 |
+
"learning_rate": 9.53684210526316e-06,
|
345 |
+
"loss": 0.0594,
|
346 |
+
"step": 470
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.768,
|
350 |
+
"grad_norm": 1.4449310302734375,
|
351 |
+
"learning_rate": 9.515789473684212e-06,
|
352 |
+
"loss": 0.0565,
|
353 |
+
"step": 480
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.784,
|
357 |
+
"grad_norm": 1.588442325592041,
|
358 |
+
"learning_rate": 9.494736842105265e-06,
|
359 |
+
"loss": 0.0505,
|
360 |
+
"step": 490
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.8,
|
364 |
+
"grad_norm": 2.315497398376465,
|
365 |
+
"learning_rate": 9.473684210526315e-06,
|
366 |
+
"loss": 0.0571,
|
367 |
+
"step": 500
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.8,
|
371 |
+
"eval_loss": 0.04724394157528877,
|
372 |
+
"eval_runtime": 1481.9655,
|
373 |
+
"eval_samples_per_second": 3.807,
|
374 |
+
"eval_steps_per_second": 3.807,
|
375 |
+
"step": 500
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 0.816,
|
379 |
+
"grad_norm": 3.124136209487915,
|
380 |
+
"learning_rate": 9.454736842105265e-06,
|
381 |
+
"loss": 0.0439,
|
382 |
+
"step": 510
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.832,
|
386 |
+
"grad_norm": 2.687971353530884,
|
387 |
+
"learning_rate": 9.433684210526318e-06,
|
388 |
+
"loss": 0.0535,
|
389 |
+
"step": 520
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 0.848,
|
393 |
+
"grad_norm": 2.442317485809326,
|
394 |
+
"learning_rate": 9.412631578947369e-06,
|
395 |
+
"loss": 0.0516,
|
396 |
+
"step": 530
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 0.864,
|
400 |
+
"grad_norm": 2.6689493656158447,
|
401 |
+
"learning_rate": 9.391578947368421e-06,
|
402 |
+
"loss": 0.0565,
|
403 |
+
"step": 540
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 0.88,
|
407 |
+
"grad_norm": 1.959835171699524,
|
408 |
+
"learning_rate": 9.370526315789474e-06,
|
409 |
+
"loss": 0.0575,
|
410 |
+
"step": 550
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.896,
|
414 |
+
"grad_norm": 3.6005074977874756,
|
415 |
+
"learning_rate": 9.349473684210526e-06,
|
416 |
+
"loss": 0.0444,
|
417 |
+
"step": 560
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.912,
|
421 |
+
"grad_norm": 2.1912620067596436,
|
422 |
+
"learning_rate": 9.328421052631579e-06,
|
423 |
+
"loss": 0.052,
|
424 |
+
"step": 570
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 0.928,
|
428 |
+
"grad_norm": 2.148808240890503,
|
429 |
+
"learning_rate": 9.307368421052634e-06,
|
430 |
+
"loss": 0.0555,
|
431 |
+
"step": 580
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 0.944,
|
435 |
+
"grad_norm": 2.872231960296631,
|
436 |
+
"learning_rate": 9.286315789473686e-06,
|
437 |
+
"loss": 0.054,
|
438 |
+
"step": 590
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 0.96,
|
442 |
+
"grad_norm": 3.3271450996398926,
|
443 |
+
"learning_rate": 9.265263157894737e-06,
|
444 |
+
"loss": 0.0554,
|
445 |
+
"step": 600
|
446 |
+
},
|
447 |
+
{
|
448 |
+
"epoch": 0.976,
|
449 |
+
"grad_norm": 2.058793067932129,
|
450 |
+
"learning_rate": 9.24421052631579e-06,
|
451 |
+
"loss": 0.0418,
|
452 |
+
"step": 610
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.992,
|
456 |
+
"grad_norm": 2.0928821563720703,
|
457 |
+
"learning_rate": 9.225263157894737e-06,
|
458 |
+
"loss": 0.0525,
|
459 |
+
"step": 620
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 1.008,
|
463 |
+
"grad_norm": 1.410493016242981,
|
464 |
+
"learning_rate": 9.20421052631579e-06,
|
465 |
+
"loss": 0.0448,
|
466 |
+
"step": 630
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 1.024,
|
470 |
+
"grad_norm": 1.4376940727233887,
|
471 |
+
"learning_rate": 9.183157894736843e-06,
|
472 |
+
"loss": 0.0281,
|
473 |
+
"step": 640
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 1.04,
|
477 |
+
"grad_norm": 1.678579568862915,
|
478 |
+
"learning_rate": 9.162105263157895e-06,
|
479 |
+
"loss": 0.0207,
|
480 |
+
"step": 650
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.056,
|
484 |
+
"grad_norm": 2.18996524810791,
|
485 |
+
"learning_rate": 9.141052631578948e-06,
|
486 |
+
"loss": 0.0288,
|
487 |
+
"step": 660
|
488 |
+
},
|
489 |
+
{
|
490 |
+
"epoch": 1.072,
|
491 |
+
"grad_norm": 1.0160465240478516,
|
492 |
+
"learning_rate": 9.12e-06,
|
493 |
+
"loss": 0.0199,
|
494 |
+
"step": 670
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.088,
|
498 |
+
"grad_norm": 1.4741309881210327,
|
499 |
+
"learning_rate": 9.098947368421053e-06,
|
500 |
+
"loss": 0.0248,
|
501 |
+
"step": 680
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.104,
|
505 |
+
"grad_norm": 1.5385643243789673,
|
506 |
+
"learning_rate": 9.077894736842106e-06,
|
507 |
+
"loss": 0.0286,
|
508 |
+
"step": 690
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 1.12,
|
512 |
+
"grad_norm": 1.65945565700531,
|
513 |
+
"learning_rate": 9.056842105263159e-06,
|
514 |
+
"loss": 0.0331,
|
515 |
+
"step": 700
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.1360000000000001,
|
519 |
+
"grad_norm": 2.443169593811035,
|
520 |
+
"learning_rate": 9.035789473684211e-06,
|
521 |
+
"loss": 0.0328,
|
522 |
+
"step": 710
|
523 |
+
},
|
524 |
+
{
|
525 |
+
"epoch": 1.152,
|
526 |
+
"grad_norm": 1.950245976448059,
|
527 |
+
"learning_rate": 9.014736842105264e-06,
|
528 |
+
"loss": 0.0297,
|
529 |
+
"step": 720
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 1.168,
|
533 |
+
"grad_norm": 1.0469032526016235,
|
534 |
+
"learning_rate": 8.993684210526317e-06,
|
535 |
+
"loss": 0.0282,
|
536 |
+
"step": 730
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 1.184,
|
540 |
+
"grad_norm": 1.5326778888702393,
|
541 |
+
"learning_rate": 8.97263157894737e-06,
|
542 |
+
"loss": 0.0307,
|
543 |
+
"step": 740
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 1.2,
|
547 |
+
"grad_norm": 0.976245105266571,
|
548 |
+
"learning_rate": 8.951578947368422e-06,
|
549 |
+
"loss": 0.0293,
|
550 |
+
"step": 750
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 1.2,
|
554 |
+
"eval_loss": 0.04405752569437027,
|
555 |
+
"eval_runtime": 1500.9354,
|
556 |
+
"eval_samples_per_second": 3.759,
|
557 |
+
"eval_steps_per_second": 3.759,
|
558 |
+
"step": 750
|
559 |
+
},
|
560 |
+
{
|
561 |
+
"epoch": 1.216,
|
562 |
+
"grad_norm": 1.4788917303085327,
|
563 |
+
"learning_rate": 8.930526315789475e-06,
|
564 |
+
"loss": 0.0341,
|
565 |
+
"step": 760
|
566 |
+
},
|
567 |
+
{
|
568 |
+
"epoch": 1.232,
|
569 |
+
"grad_norm": 1.398728847503662,
|
570 |
+
"learning_rate": 8.909473684210527e-06,
|
571 |
+
"loss": 0.0301,
|
572 |
+
"step": 770
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 1.248,
|
576 |
+
"grad_norm": 1.7809382677078247,
|
577 |
+
"learning_rate": 8.88842105263158e-06,
|
578 |
+
"loss": 0.0265,
|
579 |
+
"step": 780
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 1.264,
|
583 |
+
"grad_norm": 1.9043110609054565,
|
584 |
+
"learning_rate": 8.867368421052633e-06,
|
585 |
+
"loss": 0.0277,
|
586 |
+
"step": 790
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 1.28,
|
590 |
+
"grad_norm": 2.286780595779419,
|
591 |
+
"learning_rate": 8.846315789473685e-06,
|
592 |
+
"loss": 0.0241,
|
593 |
+
"step": 800
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 1.296,
|
597 |
+
"grad_norm": 2.867587089538574,
|
598 |
+
"learning_rate": 8.825263157894738e-06,
|
599 |
+
"loss": 0.0288,
|
600 |
+
"step": 810
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 1.312,
|
604 |
+
"grad_norm": 1.6300053596496582,
|
605 |
+
"learning_rate": 8.80421052631579e-06,
|
606 |
+
"loss": 0.0229,
|
607 |
+
"step": 820
|
608 |
+
},
|
609 |
+
{
|
610 |
+
"epoch": 1.328,
|
611 |
+
"grad_norm": 2.1260311603546143,
|
612 |
+
"learning_rate": 8.783157894736842e-06,
|
613 |
+
"loss": 0.034,
|
614 |
+
"step": 830
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 1.3439999999999999,
|
618 |
+
"grad_norm": 1.2183325290679932,
|
619 |
+
"learning_rate": 8.762105263157896e-06,
|
620 |
+
"loss": 0.0261,
|
621 |
+
"step": 840
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 1.3599999999999999,
|
625 |
+
"grad_norm": 1.4144467115402222,
|
626 |
+
"learning_rate": 8.741052631578949e-06,
|
627 |
+
"loss": 0.0258,
|
628 |
+
"step": 850
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 1.376,
|
632 |
+
"grad_norm": 1.658300757408142,
|
633 |
+
"learning_rate": 8.720000000000001e-06,
|
634 |
+
"loss": 0.0286,
|
635 |
+
"step": 860
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 1.392,
|
639 |
+
"grad_norm": 1.566178321838379,
|
640 |
+
"learning_rate": 8.698947368421054e-06,
|
641 |
+
"loss": 0.0259,
|
642 |
+
"step": 870
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 1.408,
|
646 |
+
"grad_norm": 1.7910547256469727,
|
647 |
+
"learning_rate": 8.677894736842107e-06,
|
648 |
+
"loss": 0.024,
|
649 |
+
"step": 880
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 1.424,
|
653 |
+
"grad_norm": 1.882262110710144,
|
654 |
+
"learning_rate": 8.65684210526316e-06,
|
655 |
+
"loss": 0.0312,
|
656 |
+
"step": 890
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 1.44,
|
660 |
+
"grad_norm": 1.2737823724746704,
|
661 |
+
"learning_rate": 8.63578947368421e-06,
|
662 |
+
"loss": 0.0324,
|
663 |
+
"step": 900
|
664 |
+
},
|
665 |
+
{
|
666 |
+
"epoch": 1.456,
|
667 |
+
"grad_norm": 1.954757809638977,
|
668 |
+
"learning_rate": 8.614736842105263e-06,
|
669 |
+
"loss": 0.0276,
|
670 |
+
"step": 910
|
671 |
+
},
|
672 |
+
{
|
673 |
+
"epoch": 1.472,
|
674 |
+
"grad_norm": 2.4381039142608643,
|
675 |
+
"learning_rate": 8.593684210526315e-06,
|
676 |
+
"loss": 0.0258,
|
677 |
+
"step": 920
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 1.488,
|
681 |
+
"grad_norm": 1.962517499923706,
|
682 |
+
"learning_rate": 8.57263157894737e-06,
|
683 |
+
"loss": 0.0357,
|
684 |
+
"step": 930
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 1.504,
|
688 |
+
"grad_norm": 1.7667138576507568,
|
689 |
+
"learning_rate": 8.551578947368422e-06,
|
690 |
+
"loss": 0.0358,
|
691 |
+
"step": 940
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 1.52,
|
695 |
+
"grad_norm": 1.6980652809143066,
|
696 |
+
"learning_rate": 8.530526315789475e-06,
|
697 |
+
"loss": 0.0247,
|
698 |
+
"step": 950
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 1.536,
|
702 |
+
"grad_norm": 1.765106201171875,
|
703 |
+
"learning_rate": 8.509473684210528e-06,
|
704 |
+
"loss": 0.0289,
|
705 |
+
"step": 960
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 1.552,
|
709 |
+
"grad_norm": 2.0965826511383057,
|
710 |
+
"learning_rate": 8.488421052631579e-06,
|
711 |
+
"loss": 0.0293,
|
712 |
+
"step": 970
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 1.568,
|
716 |
+
"grad_norm": 1.2776910066604614,
|
717 |
+
"learning_rate": 8.467368421052631e-06,
|
718 |
+
"loss": 0.0248,
|
719 |
+
"step": 980
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 1.584,
|
723 |
+
"grad_norm": 1.9160679578781128,
|
724 |
+
"learning_rate": 8.446315789473684e-06,
|
725 |
+
"loss": 0.0327,
|
726 |
+
"step": 990
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 1.6,
|
730 |
+
"grad_norm": 2.084198474884033,
|
731 |
+
"learning_rate": 8.425263157894737e-06,
|
732 |
+
"loss": 0.0248,
|
733 |
+
"step": 1000
|
734 |
+
},
|
735 |
+
{
|
736 |
+
"epoch": 1.6,
|
737 |
+
"eval_loss": 0.04179142042994499,
|
738 |
+
"eval_runtime": 1520.1889,
|
739 |
+
"eval_samples_per_second": 3.711,
|
740 |
+
"eval_steps_per_second": 3.711,
|
741 |
+
"step": 1000
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 1.616,
|
745 |
+
"grad_norm": 1.8233721256256104,
|
746 |
+
"learning_rate": 8.404210526315791e-06,
|
747 |
+
"loss": 0.0325,
|
748 |
+
"step": 1010
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 1.6320000000000001,
|
752 |
+
"grad_norm": 2.6856882572174072,
|
753 |
+
"learning_rate": 8.383157894736844e-06,
|
754 |
+
"loss": 0.0345,
|
755 |
+
"step": 1020
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 1.6480000000000001,
|
759 |
+
"grad_norm": 1.6194241046905518,
|
760 |
+
"learning_rate": 8.362105263157896e-06,
|
761 |
+
"loss": 0.0248,
|
762 |
+
"step": 1030
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 1.6640000000000001,
|
766 |
+
"grad_norm": 2.0623207092285156,
|
767 |
+
"learning_rate": 8.341052631578947e-06,
|
768 |
+
"loss": 0.0297,
|
769 |
+
"step": 1040
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 1.6800000000000002,
|
773 |
+
"grad_norm": 2.122952461242676,
|
774 |
+
"learning_rate": 8.32e-06,
|
775 |
+
"loss": 0.0346,
|
776 |
+
"step": 1050
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 1.696,
|
780 |
+
"grad_norm": 1.4452091455459595,
|
781 |
+
"learning_rate": 8.298947368421053e-06,
|
782 |
+
"loss": 0.03,
|
783 |
+
"step": 1060
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 1.712,
|
787 |
+
"grad_norm": 2.9357564449310303,
|
788 |
+
"learning_rate": 8.277894736842105e-06,
|
789 |
+
"loss": 0.026,
|
790 |
+
"step": 1070
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 1.728,
|
794 |
+
"grad_norm": 1.0874323844909668,
|
795 |
+
"learning_rate": 8.256842105263158e-06,
|
796 |
+
"loss": 0.0294,
|
797 |
+
"step": 1080
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 1.744,
|
801 |
+
"grad_norm": 1.1625168323516846,
|
802 |
+
"learning_rate": 8.235789473684212e-06,
|
803 |
+
"loss": 0.0291,
|
804 |
+
"step": 1090
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 1.76,
|
808 |
+
"grad_norm": 1.3480169773101807,
|
809 |
+
"learning_rate": 8.214736842105265e-06,
|
810 |
+
"loss": 0.034,
|
811 |
+
"step": 1100
|
812 |
+
},
|
813 |
+
{
|
814 |
+
"epoch": 1.776,
|
815 |
+
"grad_norm": 1.1702100038528442,
|
816 |
+
"learning_rate": 8.193684210526316e-06,
|
817 |
+
"loss": 0.029,
|
818 |
+
"step": 1110
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 1.792,
|
822 |
+
"grad_norm": 2.0428359508514404,
|
823 |
+
"learning_rate": 8.172631578947369e-06,
|
824 |
+
"loss": 0.023,
|
825 |
+
"step": 1120
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 1.808,
|
829 |
+
"grad_norm": 0.7537345886230469,
|
830 |
+
"learning_rate": 8.151578947368421e-06,
|
831 |
+
"loss": 0.03,
|
832 |
+
"step": 1130
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 1.8239999999999998,
|
836 |
+
"grad_norm": 2.184401273727417,
|
837 |
+
"learning_rate": 8.130526315789474e-06,
|
838 |
+
"loss": 0.0327,
|
839 |
+
"step": 1140
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 1.8399999999999999,
|
843 |
+
"grad_norm": 2.1545660495758057,
|
844 |
+
"learning_rate": 8.109473684210527e-06,
|
845 |
+
"loss": 0.0275,
|
846 |
+
"step": 1150
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 1.8559999999999999,
|
850 |
+
"grad_norm": 2.535369396209717,
|
851 |
+
"learning_rate": 8.08842105263158e-06,
|
852 |
+
"loss": 0.0292,
|
853 |
+
"step": 1160
|
854 |
+
},
|
855 |
+
{
|
856 |
+
"epoch": 1.8719999999999999,
|
857 |
+
"grad_norm": 1.8030229806900024,
|
858 |
+
"learning_rate": 8.067368421052632e-06,
|
859 |
+
"loss": 0.0264,
|
860 |
+
"step": 1170
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 1.888,
|
864 |
+
"grad_norm": 1.8990155458450317,
|
865 |
+
"learning_rate": 8.046315789473686e-06,
|
866 |
+
"loss": 0.0365,
|
867 |
+
"step": 1180
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 1.904,
|
871 |
+
"grad_norm": 1.4508986473083496,
|
872 |
+
"learning_rate": 8.025263157894737e-06,
|
873 |
+
"loss": 0.0251,
|
874 |
+
"step": 1190
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 1.92,
|
878 |
+
"grad_norm": 1.0793194770812988,
|
879 |
+
"learning_rate": 8.00421052631579e-06,
|
880 |
+
"loss": 0.0274,
|
881 |
+
"step": 1200
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 1.936,
|
885 |
+
"grad_norm": 1.9805344343185425,
|
886 |
+
"learning_rate": 7.983157894736842e-06,
|
887 |
+
"loss": 0.0299,
|
888 |
+
"step": 1210
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 1.952,
|
892 |
+
"grad_norm": 2.258500576019287,
|
893 |
+
"learning_rate": 7.962105263157895e-06,
|
894 |
+
"loss": 0.0266,
|
895 |
+
"step": 1220
|
896 |
+
},
|
897 |
+
{
|
898 |
+
"epoch": 1.968,
|
899 |
+
"grad_norm": 1.4639638662338257,
|
900 |
+
"learning_rate": 7.941052631578948e-06,
|
901 |
+
"loss": 0.026,
|
902 |
+
"step": 1230
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 1.984,
|
906 |
+
"grad_norm": 1.3057489395141602,
|
907 |
+
"learning_rate": 7.92e-06,
|
908 |
+
"loss": 0.0305,
|
909 |
+
"step": 1240
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 2.0,
|
913 |
+
"grad_norm": 1.29533052444458,
|
914 |
+
"learning_rate": 7.898947368421053e-06,
|
915 |
+
"loss": 0.0265,
|
916 |
+
"step": 1250
|
917 |
+
},
|
918 |
+
{
|
919 |
+
"epoch": 2.0,
|
920 |
+
"eval_loss": 0.04163273423910141,
|
921 |
+
"eval_runtime": 1542.8649,
|
922 |
+
"eval_samples_per_second": 3.657,
|
923 |
+
"eval_steps_per_second": 3.657,
|
924 |
+
"step": 1250
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 2.016,
|
928 |
+
"grad_norm": 0.5275375843048096,
|
929 |
+
"learning_rate": 7.877894736842106e-06,
|
930 |
+
"loss": 0.0117,
|
931 |
+
"step": 1260
|
932 |
+
},
|
933 |
+
{
|
934 |
+
"epoch": 2.032,
|
935 |
+
"grad_norm": 2.0590779781341553,
|
936 |
+
"learning_rate": 7.856842105263158e-06,
|
937 |
+
"loss": 0.0156,
|
938 |
+
"step": 1270
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 2.048,
|
942 |
+
"grad_norm": 1.2595654726028442,
|
943 |
+
"learning_rate": 7.835789473684211e-06,
|
944 |
+
"loss": 0.0105,
|
945 |
+
"step": 1280
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 2.064,
|
949 |
+
"grad_norm": 1.605797529220581,
|
950 |
+
"learning_rate": 7.814736842105264e-06,
|
951 |
+
"loss": 0.0176,
|
952 |
+
"step": 1290
|
953 |
+
},
|
954 |
+
{
|
955 |
+
"epoch": 2.08,
|
956 |
+
"grad_norm": 1.2974120378494263,
|
957 |
+
"learning_rate": 7.793684210526316e-06,
|
958 |
+
"loss": 0.0196,
|
959 |
+
"step": 1300
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 2.096,
|
963 |
+
"grad_norm": 3.662148952484131,
|
964 |
+
"learning_rate": 7.772631578947369e-06,
|
965 |
+
"loss": 0.0144,
|
966 |
+
"step": 1310
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 2.112,
|
970 |
+
"grad_norm": 0.9286357164382935,
|
971 |
+
"learning_rate": 7.751578947368422e-06,
|
972 |
+
"loss": 0.0126,
|
973 |
+
"step": 1320
|
974 |
+
},
|
975 |
+
{
|
976 |
+
"epoch": 2.128,
|
977 |
+
"grad_norm": 1.4938029050827026,
|
978 |
+
"learning_rate": 7.730526315789474e-06,
|
979 |
+
"loss": 0.0181,
|
980 |
+
"step": 1330
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 2.144,
|
984 |
+
"grad_norm": 1.9004080295562744,
|
985 |
+
"learning_rate": 7.709473684210527e-06,
|
986 |
+
"loss": 0.0192,
|
987 |
+
"step": 1340
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 2.16,
|
991 |
+
"grad_norm": 0.7749639749526978,
|
992 |
+
"learning_rate": 7.68842105263158e-06,
|
993 |
+
"loss": 0.0146,
|
994 |
+
"step": 1350
|
995 |
+
},
|
996 |
+
{
|
997 |
+
"epoch": 2.176,
|
998 |
+
"grad_norm": 1.69952392578125,
|
999 |
+
"learning_rate": 7.667368421052632e-06,
|
1000 |
+
"loss": 0.0169,
|
1001 |
+
"step": 1360
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 2.192,
|
1005 |
+
"grad_norm": 0.6169717311859131,
|
1006 |
+
"learning_rate": 7.646315789473685e-06,
|
1007 |
+
"loss": 0.0102,
|
1008 |
+
"step": 1370
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 2.208,
|
1012 |
+
"grad_norm": 3.5800750255584717,
|
1013 |
+
"learning_rate": 7.6252631578947376e-06,
|
1014 |
+
"loss": 0.014,
|
1015 |
+
"step": 1380
|
1016 |
+
},
|
1017 |
+
{
|
1018 |
+
"epoch": 2.224,
|
1019 |
+
"grad_norm": 0.6337082982063293,
|
1020 |
+
"learning_rate": 7.60421052631579e-06,
|
1021 |
+
"loss": 0.0161,
|
1022 |
+
"step": 1390
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 2.24,
|
1026 |
+
"grad_norm": 0.7504271268844604,
|
1027 |
+
"learning_rate": 7.583157894736842e-06,
|
1028 |
+
"loss": 0.0145,
|
1029 |
+
"step": 1400
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 2.2560000000000002,
|
1033 |
+
"grad_norm": 0.6736518740653992,
|
1034 |
+
"learning_rate": 7.562105263157895e-06,
|
1035 |
+
"loss": 0.0105,
|
1036 |
+
"step": 1410
|
1037 |
+
},
|
1038 |
+
{
|
1039 |
+
"epoch": 2.2720000000000002,
|
1040 |
+
"grad_norm": 1.1138242483139038,
|
1041 |
+
"learning_rate": 7.541052631578948e-06,
|
1042 |
+
"loss": 0.0136,
|
1043 |
+
"step": 1420
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 2.288,
|
1047 |
+
"grad_norm": 1.6553155183792114,
|
1048 |
+
"learning_rate": 7.520000000000001e-06,
|
1049 |
+
"loss": 0.0135,
|
1050 |
+
"step": 1430
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"epoch": 2.304,
|
1054 |
+
"grad_norm": 1.3883057832717896,
|
1055 |
+
"learning_rate": 7.4989473684210535e-06,
|
1056 |
+
"loss": 0.0136,
|
1057 |
+
"step": 1440
|
1058 |
+
},
|
1059 |
+
{
|
1060 |
+
"epoch": 2.32,
|
1061 |
+
"grad_norm": 1.3742883205413818,
|
1062 |
+
"learning_rate": 7.477894736842106e-06,
|
1063 |
+
"loss": 0.0146,
|
1064 |
+
"step": 1450
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 2.336,
|
1068 |
+
"grad_norm": 2.129136562347412,
|
1069 |
+
"learning_rate": 7.456842105263159e-06,
|
1070 |
+
"loss": 0.0142,
|
1071 |
+
"step": 1460
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 2.352,
|
1075 |
+
"grad_norm": 1.771249532699585,
|
1076 |
+
"learning_rate": 7.435789473684211e-06,
|
1077 |
+
"loss": 0.0182,
|
1078 |
+
"step": 1470
|
1079 |
+
},
|
1080 |
+
{
|
1081 |
+
"epoch": 2.368,
|
1082 |
+
"grad_norm": 0.906812846660614,
|
1083 |
+
"learning_rate": 7.414736842105263e-06,
|
1084 |
+
"loss": 0.0127,
|
1085 |
+
"step": 1480
|
1086 |
+
},
|
1087 |
+
{
|
1088 |
+
"epoch": 2.384,
|
1089 |
+
"grad_norm": 1.0035991668701172,
|
1090 |
+
"learning_rate": 7.393684210526316e-06,
|
1091 |
+
"loss": 0.0148,
|
1092 |
+
"step": 1490
|
1093 |
+
},
|
1094 |
+
{
|
1095 |
+
"epoch": 2.4,
|
1096 |
+
"grad_norm": 1.0261139869689941,
|
1097 |
+
"learning_rate": 7.3726315789473694e-06,
|
1098 |
+
"loss": 0.0162,
|
1099 |
+
"step": 1500
|
1100 |
+
},
|
1101 |
+
{
|
1102 |
+
"epoch": 2.4,
|
1103 |
+
"eval_loss": 0.04060380160808563,
|
1104 |
+
"eval_runtime": 1542.3166,
|
1105 |
+
"eval_samples_per_second": 3.658,
|
1106 |
+
"eval_steps_per_second": 3.658,
|
1107 |
+
"step": 1500
|
1108 |
+
},
|
1109 |
+
{
|
1110 |
+
"epoch": 2.416,
|
1111 |
+
"grad_norm": 0.9582253098487854,
|
1112 |
+
"learning_rate": 7.351578947368422e-06,
|
1113 |
+
"loss": 0.0139,
|
1114 |
+
"step": 1510
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"epoch": 2.432,
|
1118 |
+
"grad_norm": 1.6380131244659424,
|
1119 |
+
"learning_rate": 7.330526315789475e-06,
|
1120 |
+
"loss": 0.0175,
|
1121 |
+
"step": 1520
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 2.448,
|
1125 |
+
"grad_norm": 2.057828426361084,
|
1126 |
+
"learning_rate": 7.309473684210527e-06,
|
1127 |
+
"loss": 0.0168,
|
1128 |
+
"step": 1530
|
1129 |
+
},
|
1130 |
+
{
|
1131 |
+
"epoch": 2.464,
|
1132 |
+
"grad_norm": 1.6444942951202393,
|
1133 |
+
"learning_rate": 7.288421052631579e-06,
|
1134 |
+
"loss": 0.0151,
|
1135 |
+
"step": 1540
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 2.48,
|
1139 |
+
"grad_norm": 0.5916880369186401,
|
1140 |
+
"learning_rate": 7.267368421052632e-06,
|
1141 |
+
"loss": 0.0184,
|
1142 |
+
"step": 1550
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 2.496,
|
1146 |
+
"grad_norm": 1.4819905757904053,
|
1147 |
+
"learning_rate": 7.2463157894736845e-06,
|
1148 |
+
"loss": 0.0215,
|
1149 |
+
"step": 1560
|
1150 |
+
},
|
1151 |
+
{
|
1152 |
+
"epoch": 2.512,
|
1153 |
+
"grad_norm": 0.944874107837677,
|
1154 |
+
"learning_rate": 7.225263157894737e-06,
|
1155 |
+
"loss": 0.0146,
|
1156 |
+
"step": 1570
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 2.528,
|
1160 |
+
"grad_norm": 1.1218395233154297,
|
1161 |
+
"learning_rate": 7.20421052631579e-06,
|
1162 |
+
"loss": 0.0155,
|
1163 |
+
"step": 1580
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 2.544,
|
1167 |
+
"grad_norm": 1.7295416593551636,
|
1168 |
+
"learning_rate": 7.183157894736843e-06,
|
1169 |
+
"loss": 0.0149,
|
1170 |
+
"step": 1590
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 2.56,
|
1174 |
+
"grad_norm": 2.064664602279663,
|
1175 |
+
"learning_rate": 7.162105263157896e-06,
|
1176 |
+
"loss": 0.0209,
|
1177 |
+
"step": 1600
|
1178 |
+
},
|
1179 |
+
{
|
1180 |
+
"epoch": 2.576,
|
1181 |
+
"grad_norm": 1.4919706583023071,
|
1182 |
+
"learning_rate": 7.141052631578948e-06,
|
1183 |
+
"loss": 0.0174,
|
1184 |
+
"step": 1610
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 2.592,
|
1188 |
+
"grad_norm": 1.8185276985168457,
|
1189 |
+
"learning_rate": 7.1200000000000004e-06,
|
1190 |
+
"loss": 0.0153,
|
1191 |
+
"step": 1620
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 2.608,
|
1195 |
+
"grad_norm": 1.0406450033187866,
|
1196 |
+
"learning_rate": 7.098947368421053e-06,
|
1197 |
+
"loss": 0.017,
|
1198 |
+
"step": 1630
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 2.624,
|
1202 |
+
"grad_norm": 2.1542301177978516,
|
1203 |
+
"learning_rate": 7.077894736842106e-06,
|
1204 |
+
"loss": 0.0171,
|
1205 |
+
"step": 1640
|
1206 |
+
},
|
1207 |
+
{
|
1208 |
+
"epoch": 2.64,
|
1209 |
+
"grad_norm": 1.3869684934616089,
|
1210 |
+
"learning_rate": 7.056842105263158e-06,
|
1211 |
+
"loss": 0.0141,
|
1212 |
+
"step": 1650
|
1213 |
+
},
|
1214 |
+
{
|
1215 |
+
"epoch": 2.656,
|
1216 |
+
"grad_norm": 1.0020642280578613,
|
1217 |
+
"learning_rate": 7.035789473684211e-06,
|
1218 |
+
"loss": 0.0176,
|
1219 |
+
"step": 1660
|
1220 |
+
},
|
1221 |
+
{
|
1222 |
+
"epoch": 2.672,
|
1223 |
+
"grad_norm": 2.786790370941162,
|
1224 |
+
"learning_rate": 7.0147368421052646e-06,
|
1225 |
+
"loss": 0.0132,
|
1226 |
+
"step": 1670
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 2.6879999999999997,
|
1230 |
+
"grad_norm": 1.0302237272262573,
|
1231 |
+
"learning_rate": 6.9936842105263155e-06,
|
1232 |
+
"loss": 0.0139,
|
1233 |
+
"step": 1680
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 2.7039999999999997,
|
1237 |
+
"grad_norm": 1.0650746822357178,
|
1238 |
+
"learning_rate": 6.972631578947369e-06,
|
1239 |
+
"loss": 0.0137,
|
1240 |
+
"step": 1690
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 2.7199999999999998,
|
1244 |
+
"grad_norm": 1.5508835315704346,
|
1245 |
+
"learning_rate": 6.951578947368422e-06,
|
1246 |
+
"loss": 0.0151,
|
1247 |
+
"step": 1700
|
1248 |
+
},
|
1249 |
+
{
|
1250 |
+
"epoch": 2.7359999999999998,
|
1251 |
+
"grad_norm": 0.7046643495559692,
|
1252 |
+
"learning_rate": 6.930526315789474e-06,
|
1253 |
+
"loss": 0.0127,
|
1254 |
+
"step": 1710
|
1255 |
+
},
|
1256 |
+
{
|
1257 |
+
"epoch": 2.752,
|
1258 |
+
"grad_norm": 1.3175015449523926,
|
1259 |
+
"learning_rate": 6.909473684210527e-06,
|
1260 |
+
"loss": 0.015,
|
1261 |
+
"step": 1720
|
1262 |
+
},
|
1263 |
+
{
|
1264 |
+
"epoch": 2.768,
|
1265 |
+
"grad_norm": 2.0063388347625732,
|
1266 |
+
"learning_rate": 6.88842105263158e-06,
|
1267 |
+
"loss": 0.0143,
|
1268 |
+
"step": 1730
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 2.784,
|
1272 |
+
"grad_norm": 1.5595343112945557,
|
1273 |
+
"learning_rate": 6.867368421052632e-06,
|
1274 |
+
"loss": 0.0175,
|
1275 |
+
"step": 1740
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 2.8,
|
1279 |
+
"grad_norm": 1.6928199529647827,
|
1280 |
+
"learning_rate": 6.846315789473684e-06,
|
1281 |
+
"loss": 0.0147,
|
1282 |
+
"step": 1750
|
1283 |
+
},
|
1284 |
+
{
|
1285 |
+
"epoch": 2.8,
|
1286 |
+
"eval_loss": 0.03860897570848465,
|
1287 |
+
"eval_runtime": 9405.2396,
|
1288 |
+
"eval_samples_per_second": 0.6,
|
1289 |
+
"eval_steps_per_second": 0.6,
|
1290 |
+
"step": 1750
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 2.816,
|
1294 |
+
"grad_norm": 2.1976370811462402,
|
1295 |
+
"learning_rate": 6.825263157894737e-06,
|
1296 |
+
"loss": 0.0158,
|
1297 |
+
"step": 1760
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 2.832,
|
1301 |
+
"grad_norm": 1.3669664859771729,
|
1302 |
+
"learning_rate": 6.804210526315789e-06,
|
1303 |
+
"loss": 0.0213,
|
1304 |
+
"step": 1770
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 2.848,
|
1308 |
+
"grad_norm": 1.8074935674667358,
|
1309 |
+
"learning_rate": 6.783157894736843e-06,
|
1310 |
+
"loss": 0.018,
|
1311 |
+
"step": 1780
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 2.864,
|
1315 |
+
"grad_norm": 0.8959200382232666,
|
1316 |
+
"learning_rate": 6.7621052631578956e-06,
|
1317 |
+
"loss": 0.0137,
|
1318 |
+
"step": 1790
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 2.88,
|
1322 |
+
"grad_norm": 1.1795583963394165,
|
1323 |
+
"learning_rate": 6.741052631578948e-06,
|
1324 |
+
"loss": 0.0157,
|
1325 |
+
"step": 1800
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 2.896,
|
1329 |
+
"grad_norm": 1.4148980379104614,
|
1330 |
+
"learning_rate": 6.720000000000001e-06,
|
1331 |
+
"loss": 0.0174,
|
1332 |
+
"step": 1810
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 2.912,
|
1336 |
+
"grad_norm": 0.8638339042663574,
|
1337 |
+
"learning_rate": 6.698947368421053e-06,
|
1338 |
+
"loss": 0.0209,
|
1339 |
+
"step": 1820
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 2.928,
|
1343 |
+
"grad_norm": 0.9411534667015076,
|
1344 |
+
"learning_rate": 6.677894736842105e-06,
|
1345 |
+
"loss": 0.0114,
|
1346 |
+
"step": 1830
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 2.944,
|
1350 |
+
"grad_norm": 0.6806014180183411,
|
1351 |
+
"learning_rate": 6.656842105263158e-06,
|
1352 |
+
"loss": 0.02,
|
1353 |
+
"step": 1840
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 2.96,
|
1357 |
+
"grad_norm": 0.9796069264411926,
|
1358 |
+
"learning_rate": 6.635789473684211e-06,
|
1359 |
+
"loss": 0.0116,
|
1360 |
+
"step": 1850
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 2.976,
|
1364 |
+
"grad_norm": 3.364715814590454,
|
1365 |
+
"learning_rate": 6.614736842105264e-06,
|
1366 |
+
"loss": 0.0132,
|
1367 |
+
"step": 1860
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 2.992,
|
1371 |
+
"grad_norm": 0.729645848274231,
|
1372 |
+
"learning_rate": 6.593684210526317e-06,
|
1373 |
+
"loss": 0.0147,
|
1374 |
+
"step": 1870
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 3.008,
|
1378 |
+
"grad_norm": 2.3798277378082275,
|
1379 |
+
"learning_rate": 6.5726315789473695e-06,
|
1380 |
+
"loss": 0.0174,
|
1381 |
+
"step": 1880
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 3.024,
|
1385 |
+
"grad_norm": 0.6777742505073547,
|
1386 |
+
"learning_rate": 6.551578947368421e-06,
|
1387 |
+
"loss": 0.0105,
|
1388 |
+
"step": 1890
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 3.04,
|
1392 |
+
"grad_norm": 1.1942986249923706,
|
1393 |
+
"learning_rate": 6.530526315789474e-06,
|
1394 |
+
"loss": 0.0098,
|
1395 |
+
"step": 1900
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 3.056,
|
1399 |
+
"grad_norm": 0.5124061107635498,
|
1400 |
+
"learning_rate": 6.509473684210527e-06,
|
1401 |
+
"loss": 0.0122,
|
1402 |
+
"step": 1910
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 3.072,
|
1406 |
+
"grad_norm": 0.9624982476234436,
|
1407 |
+
"learning_rate": 6.488421052631579e-06,
|
1408 |
+
"loss": 0.0075,
|
1409 |
+
"step": 1920
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 3.088,
|
1413 |
+
"grad_norm": 0.6776851415634155,
|
1414 |
+
"learning_rate": 6.467368421052632e-06,
|
1415 |
+
"loss": 0.0078,
|
1416 |
+
"step": 1930
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 3.104,
|
1420 |
+
"grad_norm": 0.4030074179172516,
|
1421 |
+
"learning_rate": 6.4463157894736845e-06,
|
1422 |
+
"loss": 0.0078,
|
1423 |
+
"step": 1940
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 3.12,
|
1427 |
+
"grad_norm": 0.5822834372520447,
|
1428 |
+
"learning_rate": 6.425263157894738e-06,
|
1429 |
+
"loss": 0.0058,
|
1430 |
+
"step": 1950
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 3.136,
|
1434 |
+
"grad_norm": 0.23138459026813507,
|
1435 |
+
"learning_rate": 6.404210526315791e-06,
|
1436 |
+
"loss": 0.0062,
|
1437 |
+
"step": 1960
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 3.152,
|
1441 |
+
"grad_norm": 1.4345389604568481,
|
1442 |
+
"learning_rate": 6.3831578947368425e-06,
|
1443 |
+
"loss": 0.009,
|
1444 |
+
"step": 1970
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 3.168,
|
1448 |
+
"grad_norm": 1.3896571397781372,
|
1449 |
+
"learning_rate": 6.362105263157895e-06,
|
1450 |
+
"loss": 0.0091,
|
1451 |
+
"step": 1980
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 3.184,
|
1455 |
+
"grad_norm": 0.7762678861618042,
|
1456 |
+
"learning_rate": 6.341052631578948e-06,
|
1457 |
+
"loss": 0.0078,
|
1458 |
+
"step": 1990
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 3.2,
|
1462 |
+
"grad_norm": 0.7915733456611633,
|
1463 |
+
"learning_rate": 6.3200000000000005e-06,
|
1464 |
+
"loss": 0.0061,
|
1465 |
+
"step": 2000
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 3.2,
|
1469 |
+
"eval_loss": 0.039765432476997375,
|
1470 |
+
"eval_runtime": 1647.5775,
|
1471 |
+
"eval_samples_per_second": 3.424,
|
1472 |
+
"eval_steps_per_second": 3.424,
|
1473 |
+
"step": 2000
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 3.216,
|
1477 |
+
"grad_norm": 0.6915295124053955,
|
1478 |
+
"learning_rate": 6.298947368421053e-06,
|
1479 |
+
"loss": 0.0072,
|
1480 |
+
"step": 2010
|
1481 |
+
},
|
1482 |
+
{
|
1483 |
+
"epoch": 3.232,
|
1484 |
+
"grad_norm": 1.2451772689819336,
|
1485 |
+
"learning_rate": 6.277894736842106e-06,
|
1486 |
+
"loss": 0.0085,
|
1487 |
+
"step": 2020
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 3.248,
|
1491 |
+
"grad_norm": 0.7011457085609436,
|
1492 |
+
"learning_rate": 6.256842105263159e-06,
|
1493 |
+
"loss": 0.0095,
|
1494 |
+
"step": 2030
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 3.2640000000000002,
|
1498 |
+
"grad_norm": 0.3362152874469757,
|
1499 |
+
"learning_rate": 6.23578947368421e-06,
|
1500 |
+
"loss": 0.0068,
|
1501 |
+
"step": 2040
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"epoch": 3.2800000000000002,
|
1505 |
+
"grad_norm": 2.8105270862579346,
|
1506 |
+
"learning_rate": 6.214736842105264e-06,
|
1507 |
+
"loss": 0.0065,
|
1508 |
+
"step": 2050
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 3.296,
|
1512 |
+
"grad_norm": 0.5386505722999573,
|
1513 |
+
"learning_rate": 6.193684210526316e-06,
|
1514 |
+
"loss": 0.0064,
|
1515 |
+
"step": 2060
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 3.312,
|
1519 |
+
"grad_norm": 1.7395727634429932,
|
1520 |
+
"learning_rate": 6.172631578947369e-06,
|
1521 |
+
"loss": 0.0054,
|
1522 |
+
"step": 2070
|
1523 |
+
},
|
1524 |
+
{
|
1525 |
+
"epoch": 3.328,
|
1526 |
+
"grad_norm": 0.7333295345306396,
|
1527 |
+
"learning_rate": 6.151578947368422e-06,
|
1528 |
+
"loss": 0.0074,
|
1529 |
+
"step": 2080
|
1530 |
+
},
|
1531 |
+
{
|
1532 |
+
"epoch": 3.344,
|
1533 |
+
"grad_norm": 0.36293238401412964,
|
1534 |
+
"learning_rate": 6.130526315789474e-06,
|
1535 |
+
"loss": 0.0083,
|
1536 |
+
"step": 2090
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 3.36,
|
1540 |
+
"grad_norm": 0.7955753207206726,
|
1541 |
+
"learning_rate": 6.109473684210527e-06,
|
1542 |
+
"loss": 0.0057,
|
1543 |
+
"step": 2100
|
1544 |
+
},
|
1545 |
+
{
|
1546 |
+
"epoch": 3.376,
|
1547 |
+
"grad_norm": 1.8287686109542847,
|
1548 |
+
"learning_rate": 6.088421052631579e-06,
|
1549 |
+
"loss": 0.0071,
|
1550 |
+
"step": 2110
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 3.392,
|
1554 |
+
"grad_norm": 0.6369631886482239,
|
1555 |
+
"learning_rate": 6.0673684210526315e-06,
|
1556 |
+
"loss": 0.0073,
|
1557 |
+
"step": 2120
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 3.408,
|
1561 |
+
"grad_norm": 0.9539582133293152,
|
1562 |
+
"learning_rate": 6.046315789473685e-06,
|
1563 |
+
"loss": 0.0114,
|
1564 |
+
"step": 2130
|
1565 |
+
},
|
1566 |
+
{
|
1567 |
+
"epoch": 3.424,
|
1568 |
+
"grad_norm": 0.8086543083190918,
|
1569 |
+
"learning_rate": 6.025263157894738e-06,
|
1570 |
+
"loss": 0.0099,
|
1571 |
+
"step": 2140
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 3.44,
|
1575 |
+
"grad_norm": 0.40894851088523865,
|
1576 |
+
"learning_rate": 6.00421052631579e-06,
|
1577 |
+
"loss": 0.0066,
|
1578 |
+
"step": 2150
|
1579 |
+
},
|
1580 |
+
{
|
1581 |
+
"epoch": 3.456,
|
1582 |
+
"grad_norm": 0.39193499088287354,
|
1583 |
+
"learning_rate": 5.983157894736843e-06,
|
1584 |
+
"loss": 0.0044,
|
1585 |
+
"step": 2160
|
1586 |
+
},
|
1587 |
+
{
|
1588 |
+
"epoch": 3.472,
|
1589 |
+
"grad_norm": 1.0509319305419922,
|
1590 |
+
"learning_rate": 5.962105263157896e-06,
|
1591 |
+
"loss": 0.0081,
|
1592 |
+
"step": 2170
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 3.488,
|
1596 |
+
"grad_norm": 2.615633964538574,
|
1597 |
+
"learning_rate": 5.941052631578947e-06,
|
1598 |
+
"loss": 0.0076,
|
1599 |
+
"step": 2180
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 3.504,
|
1603 |
+
"grad_norm": 0.9589405059814453,
|
1604 |
+
"learning_rate": 5.92e-06,
|
1605 |
+
"loss": 0.0078,
|
1606 |
+
"step": 2190
|
1607 |
+
},
|
1608 |
+
{
|
1609 |
+
"epoch": 3.52,
|
1610 |
+
"grad_norm": 1.0844931602478027,
|
1611 |
+
"learning_rate": 5.898947368421053e-06,
|
1612 |
+
"loss": 0.0064,
|
1613 |
+
"step": 2200
|
1614 |
+
},
|
1615 |
+
{
|
1616 |
+
"epoch": 3.536,
|
1617 |
+
"grad_norm": 0.5187249183654785,
|
1618 |
+
"learning_rate": 5.8800000000000005e-06,
|
1619 |
+
"loss": 0.0094,
|
1620 |
+
"step": 2210
|
1621 |
+
},
|
1622 |
+
{
|
1623 |
+
"epoch": 3.552,
|
1624 |
+
"grad_norm": 1.4108637571334839,
|
1625 |
+
"learning_rate": 5.858947368421053e-06,
|
1626 |
+
"loss": 0.0075,
|
1627 |
+
"step": 2220
|
1628 |
+
},
|
1629 |
+
{
|
1630 |
+
"epoch": 3.568,
|
1631 |
+
"grad_norm": 0.7219350337982178,
|
1632 |
+
"learning_rate": 5.837894736842106e-06,
|
1633 |
+
"loss": 0.0091,
|
1634 |
+
"step": 2230
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 3.584,
|
1638 |
+
"grad_norm": 0.8116509914398193,
|
1639 |
+
"learning_rate": 5.816842105263158e-06,
|
1640 |
+
"loss": 0.008,
|
1641 |
+
"step": 2240
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 3.6,
|
1645 |
+
"grad_norm": 0.27414098381996155,
|
1646 |
+
"learning_rate": 5.795789473684211e-06,
|
1647 |
+
"loss": 0.0094,
|
1648 |
+
"step": 2250
|
1649 |
+
},
|
1650 |
+
{
|
1651 |
+
"epoch": 3.6,
|
1652 |
+
"eval_loss": 0.03814266622066498,
|
1653 |
+
"eval_runtime": 1450.6262,
|
1654 |
+
"eval_samples_per_second": 3.889,
|
1655 |
+
"eval_steps_per_second": 3.889,
|
1656 |
+
"step": 2250
|
1657 |
+
},
|
1658 |
+
{
|
1659 |
+
"epoch": 3.616,
|
1660 |
+
"grad_norm": 0.7917847633361816,
|
1661 |
+
"learning_rate": 5.774736842105264e-06,
|
1662 |
+
"loss": 0.0074,
|
1663 |
+
"step": 2260
|
1664 |
+
},
|
1665 |
+
{
|
1666 |
+
"epoch": 3.632,
|
1667 |
+
"grad_norm": 0.7660414576530457,
|
1668 |
+
"learning_rate": 5.7536842105263155e-06,
|
1669 |
+
"loss": 0.0081,
|
1670 |
+
"step": 2270
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 3.648,
|
1674 |
+
"grad_norm": 0.9440973401069641,
|
1675 |
+
"learning_rate": 5.732631578947368e-06,
|
1676 |
+
"loss": 0.0072,
|
1677 |
+
"step": 2280
|
1678 |
+
},
|
1679 |
+
{
|
1680 |
+
"epoch": 3.664,
|
1681 |
+
"grad_norm": 1.79617440700531,
|
1682 |
+
"learning_rate": 5.711578947368422e-06,
|
1683 |
+
"loss": 0.0094,
|
1684 |
+
"step": 2290
|
1685 |
+
},
|
1686 |
+
{
|
1687 |
+
"epoch": 3.68,
|
1688 |
+
"grad_norm": 0.6188564896583557,
|
1689 |
+
"learning_rate": 5.690526315789474e-06,
|
1690 |
+
"loss": 0.0101,
|
1691 |
+
"step": 2300
|
1692 |
+
},
|
1693 |
+
{
|
1694 |
+
"epoch": 3.6959999999999997,
|
1695 |
+
"grad_norm": 1.2464138269424438,
|
1696 |
+
"learning_rate": 5.669473684210527e-06,
|
1697 |
+
"loss": 0.0073,
|
1698 |
+
"step": 2310
|
1699 |
+
},
|
1700 |
+
{
|
1701 |
+
"epoch": 3.7119999999999997,
|
1702 |
+
"grad_norm": 0.35902971029281616,
|
1703 |
+
"learning_rate": 5.64842105263158e-06,
|
1704 |
+
"loss": 0.007,
|
1705 |
+
"step": 2320
|
1706 |
+
},
|
1707 |
+
{
|
1708 |
+
"epoch": 3.7279999999999998,
|
1709 |
+
"grad_norm": 0.5012713670730591,
|
1710 |
+
"learning_rate": 5.627368421052632e-06,
|
1711 |
+
"loss": 0.0046,
|
1712 |
+
"step": 2330
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 3.7439999999999998,
|
1716 |
+
"grad_norm": 1.280382752418518,
|
1717 |
+
"learning_rate": 5.606315789473684e-06,
|
1718 |
+
"loss": 0.0105,
|
1719 |
+
"step": 2340
|
1720 |
+
},
|
1721 |
+
{
|
1722 |
+
"epoch": 3.76,
|
1723 |
+
"grad_norm": 0.7401492595672607,
|
1724 |
+
"learning_rate": 5.585263157894737e-06,
|
1725 |
+
"loss": 0.0079,
|
1726 |
+
"step": 2350
|
1727 |
+
},
|
1728 |
+
{
|
1729 |
+
"epoch": 3.776,
|
1730 |
+
"grad_norm": 0.9203608632087708,
|
1731 |
+
"learning_rate": 5.5642105263157894e-06,
|
1732 |
+
"loss": 0.0052,
|
1733 |
+
"step": 2360
|
1734 |
+
},
|
1735 |
+
{
|
1736 |
+
"epoch": 3.792,
|
1737 |
+
"grad_norm": 1.1353886127471924,
|
1738 |
+
"learning_rate": 5.543157894736843e-06,
|
1739 |
+
"loss": 0.0087,
|
1740 |
+
"step": 2370
|
1741 |
+
},
|
1742 |
+
{
|
1743 |
+
"epoch": 3.808,
|
1744 |
+
"grad_norm": 1.4035215377807617,
|
1745 |
+
"learning_rate": 5.522105263157896e-06,
|
1746 |
+
"loss": 0.0077,
|
1747 |
+
"step": 2380
|
1748 |
+
},
|
1749 |
+
{
|
1750 |
+
"epoch": 3.824,
|
1751 |
+
"grad_norm": 0.429685115814209,
|
1752 |
+
"learning_rate": 5.501052631578948e-06,
|
1753 |
+
"loss": 0.0084,
|
1754 |
+
"step": 2390
|
1755 |
+
},
|
1756 |
+
{
|
1757 |
+
"epoch": 3.84,
|
1758 |
+
"grad_norm": 0.868377685546875,
|
1759 |
+
"learning_rate": 5.480000000000001e-06,
|
1760 |
+
"loss": 0.0114,
|
1761 |
+
"step": 2400
|
1762 |
+
},
|
1763 |
+
{
|
1764 |
+
"epoch": 3.856,
|
1765 |
+
"grad_norm": 0.9295462369918823,
|
1766 |
+
"learning_rate": 5.458947368421053e-06,
|
1767 |
+
"loss": 0.0066,
|
1768 |
+
"step": 2410
|
1769 |
+
},
|
1770 |
+
{
|
1771 |
+
"epoch": 3.872,
|
1772 |
+
"grad_norm": 1.1884615421295166,
|
1773 |
+
"learning_rate": 5.437894736842105e-06,
|
1774 |
+
"loss": 0.0083,
|
1775 |
+
"step": 2420
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"epoch": 3.888,
|
1779 |
+
"grad_norm": 0.9172056913375854,
|
1780 |
+
"learning_rate": 5.416842105263158e-06,
|
1781 |
+
"loss": 0.0071,
|
1782 |
+
"step": 2430
|
1783 |
+
},
|
1784 |
+
{
|
1785 |
+
"epoch": 3.904,
|
1786 |
+
"grad_norm": 0.7041633725166321,
|
1787 |
+
"learning_rate": 5.395789473684211e-06,
|
1788 |
+
"loss": 0.0069,
|
1789 |
+
"step": 2440
|
1790 |
+
},
|
1791 |
+
{
|
1792 |
+
"epoch": 3.92,
|
1793 |
+
"grad_norm": 0.7116276621818542,
|
1794 |
+
"learning_rate": 5.374736842105263e-06,
|
1795 |
+
"loss": 0.0076,
|
1796 |
+
"step": 2450
|
1797 |
+
},
|
1798 |
+
{
|
1799 |
+
"epoch": 3.936,
|
1800 |
+
"grad_norm": 0.7440093159675598,
|
1801 |
+
"learning_rate": 5.353684210526317e-06,
|
1802 |
+
"loss": 0.0076,
|
1803 |
+
"step": 2460
|
1804 |
+
},
|
1805 |
+
{
|
1806 |
+
"epoch": 3.952,
|
1807 |
+
"grad_norm": 1.1006033420562744,
|
1808 |
+
"learning_rate": 5.3326315789473695e-06,
|
1809 |
+
"loss": 0.0077,
|
1810 |
+
"step": 2470
|
1811 |
+
},
|
1812 |
+
{
|
1813 |
+
"epoch": 3.968,
|
1814 |
+
"grad_norm": 1.046329140663147,
|
1815 |
+
"learning_rate": 5.311578947368421e-06,
|
1816 |
+
"loss": 0.0089,
|
1817 |
+
"step": 2480
|
1818 |
+
},
|
1819 |
+
{
|
1820 |
+
"epoch": 3.984,
|
1821 |
+
"grad_norm": 0.9022756814956665,
|
1822 |
+
"learning_rate": 5.290526315789474e-06,
|
1823 |
+
"loss": 0.0073,
|
1824 |
+
"step": 2490
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 4.0,
|
1828 |
+
"grad_norm": 1.0019030570983887,
|
1829 |
+
"learning_rate": 5.269473684210527e-06,
|
1830 |
+
"loss": 0.0074,
|
1831 |
+
"step": 2500
|
1832 |
+
},
|
1833 |
+
{
|
1834 |
+
"epoch": 4.0,
|
1835 |
+
"eval_loss": 0.03700412064790726,
|
1836 |
+
"eval_runtime": 1477.9736,
|
1837 |
+
"eval_samples_per_second": 3.817,
|
1838 |
+
"eval_steps_per_second": 3.817,
|
1839 |
+
"step": 2500
|
1840 |
+
},
|
1841 |
+
{
|
1842 |
+
"epoch": 4.016,
|
1843 |
+
"grad_norm": 1.2217806577682495,
|
1844 |
+
"learning_rate": 5.248421052631579e-06,
|
1845 |
+
"loss": 0.0037,
|
1846 |
+
"step": 2510
|
1847 |
+
},
|
1848 |
+
{
|
1849 |
+
"epoch": 4.032,
|
1850 |
+
"grad_norm": 0.7005161643028259,
|
1851 |
+
"learning_rate": 5.227368421052632e-06,
|
1852 |
+
"loss": 0.0047,
|
1853 |
+
"step": 2520
|
1854 |
+
},
|
1855 |
+
{
|
1856 |
+
"epoch": 4.048,
|
1857 |
+
"grad_norm": 0.3553329110145569,
|
1858 |
+
"learning_rate": 5.2063157894736846e-06,
|
1859 |
+
"loss": 0.0038,
|
1860 |
+
"step": 2530
|
1861 |
+
},
|
1862 |
+
{
|
1863 |
+
"epoch": 4.064,
|
1864 |
+
"grad_norm": 0.4705675542354584,
|
1865 |
+
"learning_rate": 5.185263157894738e-06,
|
1866 |
+
"loss": 0.0038,
|
1867 |
+
"step": 2540
|
1868 |
+
},
|
1869 |
+
{
|
1870 |
+
"epoch": 4.08,
|
1871 |
+
"grad_norm": 0.9150580763816833,
|
1872 |
+
"learning_rate": 5.164210526315791e-06,
|
1873 |
+
"loss": 0.0055,
|
1874 |
+
"step": 2550
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 4.096,
|
1878 |
+
"grad_norm": 0.7440536618232727,
|
1879 |
+
"learning_rate": 5.1431578947368425e-06,
|
1880 |
+
"loss": 0.0064,
|
1881 |
+
"step": 2560
|
1882 |
+
},
|
1883 |
+
{
|
1884 |
+
"epoch": 4.112,
|
1885 |
+
"grad_norm": 0.16911202669143677,
|
1886 |
+
"learning_rate": 5.122105263157895e-06,
|
1887 |
+
"loss": 0.0033,
|
1888 |
+
"step": 2570
|
1889 |
+
},
|
1890 |
+
{
|
1891 |
+
"epoch": 4.128,
|
1892 |
+
"grad_norm": 0.20625616610050201,
|
1893 |
+
"learning_rate": 5.101052631578948e-06,
|
1894 |
+
"loss": 0.0029,
|
1895 |
+
"step": 2580
|
1896 |
+
},
|
1897 |
+
{
|
1898 |
+
"epoch": 4.144,
|
1899 |
+
"grad_norm": 1.1767489910125732,
|
1900 |
+
"learning_rate": 5.0800000000000005e-06,
|
1901 |
+
"loss": 0.0043,
|
1902 |
+
"step": 2590
|
1903 |
+
},
|
1904 |
+
{
|
1905 |
+
"epoch": 4.16,
|
1906 |
+
"grad_norm": 0.7702798247337341,
|
1907 |
+
"learning_rate": 5.058947368421053e-06,
|
1908 |
+
"loss": 0.002,
|
1909 |
+
"step": 2600
|
1910 |
+
},
|
1911 |
+
{
|
1912 |
+
"epoch": 4.176,
|
1913 |
+
"grad_norm": 0.9442148804664612,
|
1914 |
+
"learning_rate": 5.037894736842106e-06,
|
1915 |
+
"loss": 0.0049,
|
1916 |
+
"step": 2610
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 4.192,
|
1920 |
+
"grad_norm": 0.439223974943161,
|
1921 |
+
"learning_rate": 5.0168421052631585e-06,
|
1922 |
+
"loss": 0.0033,
|
1923 |
+
"step": 2620
|
1924 |
+
},
|
1925 |
+
{
|
1926 |
+
"epoch": 4.208,
|
1927 |
+
"grad_norm": 0.2672136127948761,
|
1928 |
+
"learning_rate": 4.995789473684211e-06,
|
1929 |
+
"loss": 0.0055,
|
1930 |
+
"step": 2630
|
1931 |
+
},
|
1932 |
+
{
|
1933 |
+
"epoch": 4.224,
|
1934 |
+
"grad_norm": 0.1722344309091568,
|
1935 |
+
"learning_rate": 4.974736842105263e-06,
|
1936 |
+
"loss": 0.0049,
|
1937 |
+
"step": 2640
|
1938 |
+
},
|
1939 |
+
{
|
1940 |
+
"epoch": 4.24,
|
1941 |
+
"grad_norm": 0.8054834604263306,
|
1942 |
+
"learning_rate": 4.953684210526316e-06,
|
1943 |
+
"loss": 0.0028,
|
1944 |
+
"step": 2650
|
1945 |
+
},
|
1946 |
+
{
|
1947 |
+
"epoch": 4.256,
|
1948 |
+
"grad_norm": 0.38357770442962646,
|
1949 |
+
"learning_rate": 4.932631578947369e-06,
|
1950 |
+
"loss": 0.0022,
|
1951 |
+
"step": 2660
|
1952 |
+
},
|
1953 |
+
{
|
1954 |
+
"epoch": 4.272,
|
1955 |
+
"grad_norm": 0.7503048777580261,
|
1956 |
+
"learning_rate": 4.911578947368422e-06,
|
1957 |
+
"loss": 0.0021,
|
1958 |
+
"step": 2670
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 4.288,
|
1962 |
+
"grad_norm": 0.95183265209198,
|
1963 |
+
"learning_rate": 4.8905263157894735e-06,
|
1964 |
+
"loss": 0.0035,
|
1965 |
+
"step": 2680
|
1966 |
+
},
|
1967 |
+
{
|
1968 |
+
"epoch": 4.304,
|
1969 |
+
"grad_norm": 0.9550835490226746,
|
1970 |
+
"learning_rate": 4.869473684210527e-06,
|
1971 |
+
"loss": 0.003,
|
1972 |
+
"step": 2690
|
1973 |
+
},
|
1974 |
+
{
|
1975 |
+
"epoch": 4.32,
|
1976 |
+
"grad_norm": 1.5608851909637451,
|
1977 |
+
"learning_rate": 4.84842105263158e-06,
|
1978 |
+
"loss": 0.0042,
|
1979 |
+
"step": 2700
|
1980 |
+
},
|
1981 |
+
{
|
1982 |
+
"epoch": 4.336,
|
1983 |
+
"grad_norm": 1.4856270551681519,
|
1984 |
+
"learning_rate": 4.8273684210526315e-06,
|
1985 |
+
"loss": 0.0048,
|
1986 |
+
"step": 2710
|
1987 |
+
},
|
1988 |
+
{
|
1989 |
+
"epoch": 4.352,
|
1990 |
+
"grad_norm": 0.11427481472492218,
|
1991 |
+
"learning_rate": 4.806315789473684e-06,
|
1992 |
+
"loss": 0.0022,
|
1993 |
+
"step": 2720
|
1994 |
+
},
|
1995 |
+
{
|
1996 |
+
"epoch": 4.368,
|
1997 |
+
"grad_norm": 1.5165557861328125,
|
1998 |
+
"learning_rate": 4.785263157894738e-06,
|
1999 |
+
"loss": 0.0037,
|
2000 |
+
"step": 2730
|
2001 |
+
},
|
2002 |
+
{
|
2003 |
+
"epoch": 4.384,
|
2004 |
+
"grad_norm": 0.30141228437423706,
|
2005 |
+
"learning_rate": 4.76421052631579e-06,
|
2006 |
+
"loss": 0.0026,
|
2007 |
+
"step": 2740
|
2008 |
+
},
|
2009 |
+
{
|
2010 |
+
"epoch": 4.4,
|
2011 |
+
"grad_norm": 0.4358047842979431,
|
2012 |
+
"learning_rate": 4.743157894736842e-06,
|
2013 |
+
"loss": 0.0046,
|
2014 |
+
"step": 2750
|
2015 |
+
},
|
2016 |
+
{
|
2017 |
+
"epoch": 4.4,
|
2018 |
+
"eval_loss": 0.0372794084250927,
|
2019 |
+
"eval_runtime": 1452.4236,
|
2020 |
+
"eval_samples_per_second": 3.885,
|
2021 |
+
"eval_steps_per_second": 3.885,
|
2022 |
+
"step": 2750
|
2023 |
+
},
|
2024 |
+
{
|
2025 |
+
"epoch": 4.416,
|
2026 |
+
"grad_norm": 0.8224077820777893,
|
2027 |
+
"learning_rate": 4.72421052631579e-06,
|
2028 |
+
"loss": 0.0046,
|
2029 |
+
"step": 2760
|
2030 |
+
},
|
2031 |
+
{
|
2032 |
+
"epoch": 4.432,
|
2033 |
+
"grad_norm": 1.4491019248962402,
|
2034 |
+
"learning_rate": 4.7031578947368425e-06,
|
2035 |
+
"loss": 0.0029,
|
2036 |
+
"step": 2770
|
2037 |
+
},
|
2038 |
+
{
|
2039 |
+
"epoch": 4.448,
|
2040 |
+
"grad_norm": 0.2398335337638855,
|
2041 |
+
"learning_rate": 4.682105263157895e-06,
|
2042 |
+
"loss": 0.0038,
|
2043 |
+
"step": 2780
|
2044 |
+
},
|
2045 |
+
{
|
2046 |
+
"epoch": 4.464,
|
2047 |
+
"grad_norm": 0.4416545629501343,
|
2048 |
+
"learning_rate": 4.661052631578948e-06,
|
2049 |
+
"loss": 0.0059,
|
2050 |
+
"step": 2790
|
2051 |
+
},
|
2052 |
+
{
|
2053 |
+
"epoch": 4.48,
|
2054 |
+
"grad_norm": 0.12480773776769638,
|
2055 |
+
"learning_rate": 4.6400000000000005e-06,
|
2056 |
+
"loss": 0.0036,
|
2057 |
+
"step": 2800
|
2058 |
+
},
|
2059 |
+
{
|
2060 |
+
"epoch": 4.496,
|
2061 |
+
"grad_norm": 0.9009574055671692,
|
2062 |
+
"learning_rate": 4.618947368421053e-06,
|
2063 |
+
"loss": 0.0044,
|
2064 |
+
"step": 2810
|
2065 |
+
},
|
2066 |
+
{
|
2067 |
+
"epoch": 4.5120000000000005,
|
2068 |
+
"grad_norm": 0.5740355253219604,
|
2069 |
+
"learning_rate": 4.597894736842106e-06,
|
2070 |
+
"loss": 0.0032,
|
2071 |
+
"step": 2820
|
2072 |
+
},
|
2073 |
+
{
|
2074 |
+
"epoch": 4.5280000000000005,
|
2075 |
+
"grad_norm": 0.6319159865379333,
|
2076 |
+
"learning_rate": 4.5768421052631584e-06,
|
2077 |
+
"loss": 0.0026,
|
2078 |
+
"step": 2830
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 4.5440000000000005,
|
2082 |
+
"grad_norm": 0.710137665271759,
|
2083 |
+
"learning_rate": 4.55578947368421e-06,
|
2084 |
+
"loss": 0.0025,
|
2085 |
+
"step": 2840
|
2086 |
+
},
|
2087 |
+
{
|
2088 |
+
"epoch": 4.5600000000000005,
|
2089 |
+
"grad_norm": 0.3798495829105377,
|
2090 |
+
"learning_rate": 4.534736842105264e-06,
|
2091 |
+
"loss": 0.0032,
|
2092 |
+
"step": 2850
|
2093 |
+
},
|
2094 |
+
{
|
2095 |
+
"epoch": 4.576,
|
2096 |
+
"grad_norm": 0.09057649224996567,
|
2097 |
+
"learning_rate": 4.513684210526316e-06,
|
2098 |
+
"loss": 0.0019,
|
2099 |
+
"step": 2860
|
2100 |
+
},
|
2101 |
+
{
|
2102 |
+
"epoch": 4.592,
|
2103 |
+
"grad_norm": 0.10224127769470215,
|
2104 |
+
"learning_rate": 4.492631578947369e-06,
|
2105 |
+
"loss": 0.0024,
|
2106 |
+
"step": 2870
|
2107 |
+
},
|
2108 |
+
{
|
2109 |
+
"epoch": 4.608,
|
2110 |
+
"grad_norm": 0.45868900418281555,
|
2111 |
+
"learning_rate": 4.471578947368421e-06,
|
2112 |
+
"loss": 0.0033,
|
2113 |
+
"step": 2880
|
2114 |
+
},
|
2115 |
+
{
|
2116 |
+
"epoch": 4.624,
|
2117 |
+
"grad_norm": 0.12800952792167664,
|
2118 |
+
"learning_rate": 4.450526315789474e-06,
|
2119 |
+
"loss": 0.006,
|
2120 |
+
"step": 2890
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 4.64,
|
2124 |
+
"grad_norm": 0.12955500185489655,
|
2125 |
+
"learning_rate": 4.429473684210527e-06,
|
2126 |
+
"loss": 0.0028,
|
2127 |
+
"step": 2900
|
2128 |
+
},
|
2129 |
+
{
|
2130 |
+
"epoch": 4.656,
|
2131 |
+
"grad_norm": 0.3282037675380707,
|
2132 |
+
"learning_rate": 4.408421052631579e-06,
|
2133 |
+
"loss": 0.0032,
|
2134 |
+
"step": 2910
|
2135 |
+
},
|
2136 |
+
{
|
2137 |
+
"epoch": 4.672,
|
2138 |
+
"grad_norm": 0.480395644903183,
|
2139 |
+
"learning_rate": 4.3873684210526315e-06,
|
2140 |
+
"loss": 0.0039,
|
2141 |
+
"step": 2920
|
2142 |
+
},
|
2143 |
+
{
|
2144 |
+
"epoch": 4.688,
|
2145 |
+
"grad_norm": 1.337486743927002,
|
2146 |
+
"learning_rate": 4.366315789473685e-06,
|
2147 |
+
"loss": 0.0053,
|
2148 |
+
"step": 2930
|
2149 |
+
},
|
2150 |
+
{
|
2151 |
+
"epoch": 4.704,
|
2152 |
+
"grad_norm": 0.39609357714653015,
|
2153 |
+
"learning_rate": 4.345263157894738e-06,
|
2154 |
+
"loss": 0.0026,
|
2155 |
+
"step": 2940
|
2156 |
+
},
|
2157 |
+
{
|
2158 |
+
"epoch": 4.72,
|
2159 |
+
"grad_norm": 0.2566475570201874,
|
2160 |
+
"learning_rate": 4.3242105263157894e-06,
|
2161 |
+
"loss": 0.0041,
|
2162 |
+
"step": 2950
|
2163 |
+
},
|
2164 |
+
{
|
2165 |
+
"epoch": 4.736,
|
2166 |
+
"grad_norm": 0.6467047929763794,
|
2167 |
+
"learning_rate": 4.303157894736842e-06,
|
2168 |
+
"loss": 0.0052,
|
2169 |
+
"step": 2960
|
2170 |
+
},
|
2171 |
+
{
|
2172 |
+
"epoch": 4.752,
|
2173 |
+
"grad_norm": 1.1100505590438843,
|
2174 |
+
"learning_rate": 4.282105263157896e-06,
|
2175 |
+
"loss": 0.0062,
|
2176 |
+
"step": 2970
|
2177 |
+
},
|
2178 |
+
{
|
2179 |
+
"epoch": 4.768,
|
2180 |
+
"grad_norm": 0.6272072196006775,
|
2181 |
+
"learning_rate": 4.261052631578947e-06,
|
2182 |
+
"loss": 0.0042,
|
2183 |
+
"step": 2980
|
2184 |
+
},
|
2185 |
+
{
|
2186 |
+
"epoch": 4.784,
|
2187 |
+
"grad_norm": 0.34918469190597534,
|
2188 |
+
"learning_rate": 4.24e-06,
|
2189 |
+
"loss": 0.0036,
|
2190 |
+
"step": 2990
|
2191 |
+
},
|
2192 |
+
{
|
2193 |
+
"epoch": 4.8,
|
2194 |
+
"grad_norm": 0.37302619218826294,
|
2195 |
+
"learning_rate": 4.218947368421053e-06,
|
2196 |
+
"loss": 0.0036,
|
2197 |
+
"step": 3000
|
2198 |
+
},
|
2199 |
+
{
|
2200 |
+
"epoch": 4.8,
|
2201 |
+
"eval_loss": 0.03739345446228981,
|
2202 |
+
"eval_runtime": 1465.397,
|
2203 |
+
"eval_samples_per_second": 3.85,
|
2204 |
+
"eval_steps_per_second": 3.85,
|
2205 |
+
"step": 3000
|
2206 |
+
},
|
2207 |
+
{
|
2208 |
+
"epoch": 4.816,
|
2209 |
+
"grad_norm": 0.5744602084159851,
|
2210 |
+
"learning_rate": 4.197894736842106e-06,
|
2211 |
+
"loss": 0.0061,
|
2212 |
+
"step": 3010
|
2213 |
+
},
|
2214 |
+
{
|
2215 |
+
"epoch": 4.832,
|
2216 |
+
"grad_norm": 1.2474104166030884,
|
2217 |
+
"learning_rate": 4.176842105263158e-06,
|
2218 |
+
"loss": 0.0035,
|
2219 |
+
"step": 3020
|
2220 |
+
},
|
2221 |
+
{
|
2222 |
+
"epoch": 4.848,
|
2223 |
+
"grad_norm": 0.25358426570892334,
|
2224 |
+
"learning_rate": 4.155789473684211e-06,
|
2225 |
+
"loss": 0.0039,
|
2226 |
+
"step": 3030
|
2227 |
+
},
|
2228 |
+
{
|
2229 |
+
"epoch": 4.864,
|
2230 |
+
"grad_norm": 1.7587385177612305,
|
2231 |
+
"learning_rate": 4.134736842105263e-06,
|
2232 |
+
"loss": 0.0043,
|
2233 |
+
"step": 3040
|
2234 |
+
},
|
2235 |
+
{
|
2236 |
+
"epoch": 4.88,
|
2237 |
+
"grad_norm": 0.5396108627319336,
|
2238 |
+
"learning_rate": 4.113684210526316e-06,
|
2239 |
+
"loss": 0.0039,
|
2240 |
+
"step": 3050
|
2241 |
+
},
|
2242 |
+
{
|
2243 |
+
"epoch": 4.896,
|
2244 |
+
"grad_norm": 0.2963917553424835,
|
2245 |
+
"learning_rate": 4.092631578947369e-06,
|
2246 |
+
"loss": 0.0037,
|
2247 |
+
"step": 3060
|
2248 |
+
},
|
2249 |
+
{
|
2250 |
+
"epoch": 4.912,
|
2251 |
+
"grad_norm": 0.6284441947937012,
|
2252 |
+
"learning_rate": 4.071578947368421e-06,
|
2253 |
+
"loss": 0.0042,
|
2254 |
+
"step": 3070
|
2255 |
+
},
|
2256 |
+
{
|
2257 |
+
"epoch": 4.928,
|
2258 |
+
"grad_norm": 0.1446247100830078,
|
2259 |
+
"learning_rate": 4.050526315789474e-06,
|
2260 |
+
"loss": 0.0054,
|
2261 |
+
"step": 3080
|
2262 |
+
},
|
2263 |
+
{
|
2264 |
+
"epoch": 4.944,
|
2265 |
+
"grad_norm": 0.5421654582023621,
|
2266 |
+
"learning_rate": 4.029473684210527e-06,
|
2267 |
+
"loss": 0.0021,
|
2268 |
+
"step": 3090
|
2269 |
+
},
|
2270 |
+
{
|
2271 |
+
"epoch": 4.96,
|
2272 |
+
"grad_norm": 0.10596631467342377,
|
2273 |
+
"learning_rate": 4.008421052631579e-06,
|
2274 |
+
"loss": 0.0032,
|
2275 |
+
"step": 3100
|
2276 |
+
},
|
2277 |
+
{
|
2278 |
+
"epoch": 4.976,
|
2279 |
+
"grad_norm": 0.36356231570243835,
|
2280 |
+
"learning_rate": 3.987368421052632e-06,
|
2281 |
+
"loss": 0.0029,
|
2282 |
+
"step": 3110
|
2283 |
+
},
|
2284 |
+
{
|
2285 |
+
"epoch": 4.992,
|
2286 |
+
"grad_norm": 0.13546526432037354,
|
2287 |
+
"learning_rate": 3.9663157894736846e-06,
|
2288 |
+
"loss": 0.0026,
|
2289 |
+
"step": 3120
|
2290 |
+
},
|
2291 |
+
{
|
2292 |
+
"epoch": 5.008,
|
2293 |
+
"grad_norm": 0.09022821485996246,
|
2294 |
+
"learning_rate": 3.945263157894737e-06,
|
2295 |
+
"loss": 0.0021,
|
2296 |
+
"step": 3130
|
2297 |
+
},
|
2298 |
+
{
|
2299 |
+
"epoch": 5.024,
|
2300 |
+
"grad_norm": 0.11343013495206833,
|
2301 |
+
"learning_rate": 3.92421052631579e-06,
|
2302 |
+
"loss": 0.0035,
|
2303 |
+
"step": 3140
|
2304 |
+
},
|
2305 |
+
{
|
2306 |
+
"epoch": 5.04,
|
2307 |
+
"grad_norm": 0.39134401082992554,
|
2308 |
+
"learning_rate": 3.9031578947368425e-06,
|
2309 |
+
"loss": 0.0018,
|
2310 |
+
"step": 3150
|
2311 |
+
},
|
2312 |
+
{
|
2313 |
+
"epoch": 5.056,
|
2314 |
+
"grad_norm": 0.05532646179199219,
|
2315 |
+
"learning_rate": 3.882105263157895e-06,
|
2316 |
+
"loss": 0.0015,
|
2317 |
+
"step": 3160
|
2318 |
+
},
|
2319 |
+
{
|
2320 |
+
"epoch": 5.072,
|
2321 |
+
"grad_norm": 0.8032190203666687,
|
2322 |
+
"learning_rate": 3.861052631578948e-06,
|
2323 |
+
"loss": 0.0011,
|
2324 |
+
"step": 3170
|
2325 |
+
},
|
2326 |
+
{
|
2327 |
+
"epoch": 5.088,
|
2328 |
+
"grad_norm": 0.05971115827560425,
|
2329 |
+
"learning_rate": 3.8400000000000005e-06,
|
2330 |
+
"loss": 0.0015,
|
2331 |
+
"step": 3180
|
2332 |
+
},
|
2333 |
+
{
|
2334 |
+
"epoch": 5.104,
|
2335 |
+
"grad_norm": 0.690596342086792,
|
2336 |
+
"learning_rate": 3.818947368421053e-06,
|
2337 |
+
"loss": 0.0024,
|
2338 |
+
"step": 3190
|
2339 |
+
},
|
2340 |
+
{
|
2341 |
+
"epoch": 5.12,
|
2342 |
+
"grad_norm": 0.15326976776123047,
|
2343 |
+
"learning_rate": 3.7978947368421054e-06,
|
2344 |
+
"loss": 0.0014,
|
2345 |
+
"step": 3200
|
2346 |
+
},
|
2347 |
+
{
|
2348 |
+
"epoch": 5.136,
|
2349 |
+
"grad_norm": 0.05565618351101875,
|
2350 |
+
"learning_rate": 3.776842105263158e-06,
|
2351 |
+
"loss": 0.0014,
|
2352 |
+
"step": 3210
|
2353 |
+
},
|
2354 |
+
{
|
2355 |
+
"epoch": 5.152,
|
2356 |
+
"grad_norm": 0.18008044362068176,
|
2357 |
+
"learning_rate": 3.755789473684211e-06,
|
2358 |
+
"loss": 0.0053,
|
2359 |
+
"step": 3220
|
2360 |
+
},
|
2361 |
+
{
|
2362 |
+
"epoch": 5.168,
|
2363 |
+
"grad_norm": 0.3844296932220459,
|
2364 |
+
"learning_rate": 3.7347368421052634e-06,
|
2365 |
+
"loss": 0.0018,
|
2366 |
+
"step": 3230
|
2367 |
+
},
|
2368 |
+
{
|
2369 |
+
"epoch": 5.184,
|
2370 |
+
"grad_norm": 0.15020981431007385,
|
2371 |
+
"learning_rate": 3.713684210526316e-06,
|
2372 |
+
"loss": 0.0013,
|
2373 |
+
"step": 3240
|
2374 |
+
},
|
2375 |
+
{
|
2376 |
+
"epoch": 5.2,
|
2377 |
+
"grad_norm": 0.2373928427696228,
|
2378 |
+
"learning_rate": 3.6926315789473687e-06,
|
2379 |
+
"loss": 0.0013,
|
2380 |
+
"step": 3250
|
2381 |
+
},
|
2382 |
+
{
|
2383 |
+
"epoch": 5.2,
|
2384 |
+
"eval_loss": 0.03558925539255142,
|
2385 |
+
"eval_runtime": 3288.1466,
|
2386 |
+
"eval_samples_per_second": 1.716,
|
2387 |
+
"eval_steps_per_second": 1.716,
|
2388 |
+
"step": 3250
|
2389 |
+
},
|
2390 |
+
{
|
2391 |
+
"epoch": 5.216,
|
2392 |
+
"grad_norm": 0.6427579522132874,
|
2393 |
+
"learning_rate": 3.6715789473684217e-06,
|
2394 |
+
"loss": 0.0024,
|
2395 |
+
"step": 3260
|
2396 |
+
},
|
2397 |
+
{
|
2398 |
+
"epoch": 5.232,
|
2399 |
+
"grad_norm": 0.09459923207759857,
|
2400 |
+
"learning_rate": 3.650526315789474e-06,
|
2401 |
+
"loss": 0.0014,
|
2402 |
+
"step": 3270
|
2403 |
+
},
|
2404 |
+
{
|
2405 |
+
"epoch": 5.248,
|
2406 |
+
"grad_norm": 0.4201672077178955,
|
2407 |
+
"learning_rate": 3.6294736842105266e-06,
|
2408 |
+
"loss": 0.0013,
|
2409 |
+
"step": 3280
|
2410 |
+
},
|
2411 |
+
{
|
2412 |
+
"epoch": 5.264,
|
2413 |
+
"grad_norm": 2.386017322540283,
|
2414 |
+
"learning_rate": 3.6084210526315793e-06,
|
2415 |
+
"loss": 0.0014,
|
2416 |
+
"step": 3290
|
2417 |
+
},
|
2418 |
+
{
|
2419 |
+
"epoch": 5.28,
|
2420 |
+
"grad_norm": 0.05354594066739082,
|
2421 |
+
"learning_rate": 3.5873684210526315e-06,
|
2422 |
+
"loss": 0.0012,
|
2423 |
+
"step": 3300
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 5.296,
|
2427 |
+
"grad_norm": 0.4693075120449066,
|
2428 |
+
"learning_rate": 3.5663157894736846e-06,
|
2429 |
+
"loss": 0.0011,
|
2430 |
+
"step": 3310
|
2431 |
+
},
|
2432 |
+
{
|
2433 |
+
"epoch": 5.312,
|
2434 |
+
"grad_norm": 0.23063229024410248,
|
2435 |
+
"learning_rate": 3.5452631578947372e-06,
|
2436 |
+
"loss": 0.0011,
|
2437 |
+
"step": 3320
|
2438 |
+
},
|
2439 |
+
{
|
2440 |
+
"epoch": 5.328,
|
2441 |
+
"grad_norm": 0.6210919618606567,
|
2442 |
+
"learning_rate": 3.52421052631579e-06,
|
2443 |
+
"loss": 0.002,
|
2444 |
+
"step": 3330
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 5.344,
|
2448 |
+
"grad_norm": 0.19046130776405334,
|
2449 |
+
"learning_rate": 3.503157894736842e-06,
|
2450 |
+
"loss": 0.0011,
|
2451 |
+
"step": 3340
|
2452 |
+
},
|
2453 |
+
{
|
2454 |
+
"epoch": 5.36,
|
2455 |
+
"grad_norm": 0.8910662531852722,
|
2456 |
+
"learning_rate": 3.482105263157895e-06,
|
2457 |
+
"loss": 0.0037,
|
2458 |
+
"step": 3350
|
2459 |
+
},
|
2460 |
+
{
|
2461 |
+
"epoch": 5.376,
|
2462 |
+
"grad_norm": 1.3482168912887573,
|
2463 |
+
"learning_rate": 3.461052631578948e-06,
|
2464 |
+
"loss": 0.0018,
|
2465 |
+
"step": 3360
|
2466 |
+
},
|
2467 |
+
{
|
2468 |
+
"epoch": 5.392,
|
2469 |
+
"grad_norm": 0.053552981466054916,
|
2470 |
+
"learning_rate": 3.44e-06,
|
2471 |
+
"loss": 0.001,
|
2472 |
+
"step": 3370
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 5.408,
|
2476 |
+
"grad_norm": 0.165148064494133,
|
2477 |
+
"learning_rate": 3.4189473684210528e-06,
|
2478 |
+
"loss": 0.0018,
|
2479 |
+
"step": 3380
|
2480 |
+
},
|
2481 |
+
{
|
2482 |
+
"epoch": 5.424,
|
2483 |
+
"grad_norm": 0.1561366617679596,
|
2484 |
+
"learning_rate": 3.3978947368421054e-06,
|
2485 |
+
"loss": 0.0017,
|
2486 |
+
"step": 3390
|
2487 |
+
},
|
2488 |
+
{
|
2489 |
+
"epoch": 5.44,
|
2490 |
+
"grad_norm": 0.0557156503200531,
|
2491 |
+
"learning_rate": 3.3768421052631585e-06,
|
2492 |
+
"loss": 0.0011,
|
2493 |
+
"step": 3400
|
2494 |
+
},
|
2495 |
+
{
|
2496 |
+
"epoch": 5.456,
|
2497 |
+
"grad_norm": 0.045138657093048096,
|
2498 |
+
"learning_rate": 3.3557894736842107e-06,
|
2499 |
+
"loss": 0.0008,
|
2500 |
+
"step": 3410
|
2501 |
+
},
|
2502 |
+
{
|
2503 |
+
"epoch": 5.4719999999999995,
|
2504 |
+
"grad_norm": 0.6297252178192139,
|
2505 |
+
"learning_rate": 3.3347368421052634e-06,
|
2506 |
+
"loss": 0.0023,
|
2507 |
+
"step": 3420
|
2508 |
+
},
|
2509 |
+
{
|
2510 |
+
"epoch": 5.4879999999999995,
|
2511 |
+
"grad_norm": 0.431007444858551,
|
2512 |
+
"learning_rate": 3.313684210526316e-06,
|
2513 |
+
"loss": 0.0014,
|
2514 |
+
"step": 3430
|
2515 |
+
},
|
2516 |
+
{
|
2517 |
+
"epoch": 5.504,
|
2518 |
+
"grad_norm": 0.09312240779399872,
|
2519 |
+
"learning_rate": 3.292631578947369e-06,
|
2520 |
+
"loss": 0.002,
|
2521 |
+
"step": 3440
|
2522 |
+
},
|
2523 |
+
{
|
2524 |
+
"epoch": 5.52,
|
2525 |
+
"grad_norm": 0.19819211959838867,
|
2526 |
+
"learning_rate": 3.2715789473684213e-06,
|
2527 |
+
"loss": 0.001,
|
2528 |
+
"step": 3450
|
2529 |
+
},
|
2530 |
+
{
|
2531 |
+
"epoch": 5.536,
|
2532 |
+
"grad_norm": 0.09475424885749817,
|
2533 |
+
"learning_rate": 3.250526315789474e-06,
|
2534 |
+
"loss": 0.0019,
|
2535 |
+
"step": 3460
|
2536 |
+
},
|
2537 |
+
{
|
2538 |
+
"epoch": 5.552,
|
2539 |
+
"grad_norm": 0.034463245421648026,
|
2540 |
+
"learning_rate": 3.2294736842105266e-06,
|
2541 |
+
"loss": 0.0024,
|
2542 |
+
"step": 3470
|
2543 |
+
},
|
2544 |
+
{
|
2545 |
+
"epoch": 5.568,
|
2546 |
+
"grad_norm": 0.037909191101789474,
|
2547 |
+
"learning_rate": 3.208421052631579e-06,
|
2548 |
+
"loss": 0.0019,
|
2549 |
+
"step": 3480
|
2550 |
+
},
|
2551 |
+
{
|
2552 |
+
"epoch": 5.584,
|
2553 |
+
"grad_norm": 0.14103959500789642,
|
2554 |
+
"learning_rate": 3.187368421052632e-06,
|
2555 |
+
"loss": 0.0023,
|
2556 |
+
"step": 3490
|
2557 |
+
},
|
2558 |
+
{
|
2559 |
+
"epoch": 5.6,
|
2560 |
+
"grad_norm": 0.6614345908164978,
|
2561 |
+
"learning_rate": 3.1663157894736846e-06,
|
2562 |
+
"loss": 0.0014,
|
2563 |
+
"step": 3500
|
2564 |
+
},
|
2565 |
+
{
|
2566 |
+
"epoch": 5.6,
|
2567 |
+
"eval_loss": 0.03668233007192612,
|
2568 |
+
"eval_runtime": 1484.1952,
|
2569 |
+
"eval_samples_per_second": 3.801,
|
2570 |
+
"eval_steps_per_second": 3.801,
|
2571 |
+
"step": 3500
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 5.616,
|
2575 |
+
"grad_norm": 0.051937129348516464,
|
2576 |
+
"learning_rate": 3.1452631578947373e-06,
|
2577 |
+
"loss": 0.0021,
|
2578 |
+
"step": 3510
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 5.632,
|
2582 |
+
"grad_norm": 0.07696125656366348,
|
2583 |
+
"learning_rate": 3.1242105263157895e-06,
|
2584 |
+
"loss": 0.0017,
|
2585 |
+
"step": 3520
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 5.648,
|
2589 |
+
"grad_norm": 0.2881506681442261,
|
2590 |
+
"learning_rate": 3.1031578947368426e-06,
|
2591 |
+
"loss": 0.0014,
|
2592 |
+
"step": 3530
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 5.664,
|
2596 |
+
"grad_norm": 0.06252899765968323,
|
2597 |
+
"learning_rate": 3.0821052631578952e-06,
|
2598 |
+
"loss": 0.0017,
|
2599 |
+
"step": 3540
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 5.68,
|
2603 |
+
"grad_norm": 0.4536062180995941,
|
2604 |
+
"learning_rate": 3.0610526315789475e-06,
|
2605 |
+
"loss": 0.0015,
|
2606 |
+
"step": 3550
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 5.696,
|
2610 |
+
"grad_norm": 0.06475075334310532,
|
2611 |
+
"learning_rate": 3.04e-06,
|
2612 |
+
"loss": 0.0007,
|
2613 |
+
"step": 3560
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 5.712,
|
2617 |
+
"grad_norm": 0.10876597464084625,
|
2618 |
+
"learning_rate": 3.0189473684210528e-06,
|
2619 |
+
"loss": 0.0012,
|
2620 |
+
"step": 3570
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 5.728,
|
2624 |
+
"grad_norm": 0.04506557062268257,
|
2625 |
+
"learning_rate": 2.997894736842106e-06,
|
2626 |
+
"loss": 0.0012,
|
2627 |
+
"step": 3580
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 5.744,
|
2631 |
+
"grad_norm": 0.08606194704771042,
|
2632 |
+
"learning_rate": 2.976842105263158e-06,
|
2633 |
+
"loss": 0.0008,
|
2634 |
+
"step": 3590
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 5.76,
|
2638 |
+
"grad_norm": 0.10132581740617752,
|
2639 |
+
"learning_rate": 2.9557894736842107e-06,
|
2640 |
+
"loss": 0.0008,
|
2641 |
+
"step": 3600
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 5.776,
|
2645 |
+
"grad_norm": 0.07705429196357727,
|
2646 |
+
"learning_rate": 2.9347368421052634e-06,
|
2647 |
+
"loss": 0.0006,
|
2648 |
+
"step": 3610
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 5.792,
|
2652 |
+
"grad_norm": 0.09106363356113434,
|
2653 |
+
"learning_rate": 2.9136842105263156e-06,
|
2654 |
+
"loss": 0.0018,
|
2655 |
+
"step": 3620
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 5.808,
|
2659 |
+
"grad_norm": 0.23617351055145264,
|
2660 |
+
"learning_rate": 2.8926315789473687e-06,
|
2661 |
+
"loss": 0.0019,
|
2662 |
+
"step": 3630
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 5.824,
|
2666 |
+
"grad_norm": 0.20716822147369385,
|
2667 |
+
"learning_rate": 2.8715789473684214e-06,
|
2668 |
+
"loss": 0.0013,
|
2669 |
+
"step": 3640
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 5.84,
|
2673 |
+
"grad_norm": 0.21701906621456146,
|
2674 |
+
"learning_rate": 2.850526315789474e-06,
|
2675 |
+
"loss": 0.0014,
|
2676 |
+
"step": 3650
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 5.856,
|
2680 |
+
"grad_norm": 0.611148476600647,
|
2681 |
+
"learning_rate": 2.8294736842105262e-06,
|
2682 |
+
"loss": 0.0016,
|
2683 |
+
"step": 3660
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 5.872,
|
2687 |
+
"grad_norm": 0.28972306847572327,
|
2688 |
+
"learning_rate": 2.8084210526315793e-06,
|
2689 |
+
"loss": 0.0021,
|
2690 |
+
"step": 3670
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 5.888,
|
2694 |
+
"grad_norm": 0.13573560118675232,
|
2695 |
+
"learning_rate": 2.787368421052632e-06,
|
2696 |
+
"loss": 0.0023,
|
2697 |
+
"step": 3680
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 5.904,
|
2701 |
+
"grad_norm": 0.15231332182884216,
|
2702 |
+
"learning_rate": 2.766315789473684e-06,
|
2703 |
+
"loss": 0.0017,
|
2704 |
+
"step": 3690
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 5.92,
|
2708 |
+
"grad_norm": 0.24314993619918823,
|
2709 |
+
"learning_rate": 2.745263157894737e-06,
|
2710 |
+
"loss": 0.0015,
|
2711 |
+
"step": 3700
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 5.936,
|
2715 |
+
"grad_norm": 0.2743528485298157,
|
2716 |
+
"learning_rate": 2.72421052631579e-06,
|
2717 |
+
"loss": 0.0011,
|
2718 |
+
"step": 3710
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 5.952,
|
2722 |
+
"grad_norm": 0.20800799131393433,
|
2723 |
+
"learning_rate": 2.7031578947368426e-06,
|
2724 |
+
"loss": 0.0009,
|
2725 |
+
"step": 3720
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 5.968,
|
2729 |
+
"grad_norm": 0.04552097246050835,
|
2730 |
+
"learning_rate": 2.682105263157895e-06,
|
2731 |
+
"loss": 0.0014,
|
2732 |
+
"step": 3730
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 5.984,
|
2736 |
+
"grad_norm": 0.7857608199119568,
|
2737 |
+
"learning_rate": 2.6610526315789475e-06,
|
2738 |
+
"loss": 0.0022,
|
2739 |
+
"step": 3740
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 6.0,
|
2743 |
+
"grad_norm": 0.8046532273292542,
|
2744 |
+
"learning_rate": 2.64e-06,
|
2745 |
+
"loss": 0.0018,
|
2746 |
+
"step": 3750
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 6.0,
|
2750 |
+
"eval_loss": 0.037111204117536545,
|
2751 |
+
"eval_runtime": 1495.9727,
|
2752 |
+
"eval_samples_per_second": 3.771,
|
2753 |
+
"eval_steps_per_second": 3.771,
|
2754 |
+
"step": 3750
|
2755 |
+
},
|
2756 |
+
{
|
2757 |
+
"epoch": 6.016,
|
2758 |
+
"grad_norm": 0.09064371883869171,
|
2759 |
+
"learning_rate": 2.6189473684210524e-06,
|
2760 |
+
"loss": 0.0005,
|
2761 |
+
"step": 3760
|
2762 |
+
},
|
2763 |
+
{
|
2764 |
+
"epoch": 6.032,
|
2765 |
+
"grad_norm": 0.148435577750206,
|
2766 |
+
"learning_rate": 2.5978947368421054e-06,
|
2767 |
+
"loss": 0.0008,
|
2768 |
+
"step": 3770
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 6.048,
|
2772 |
+
"grad_norm": 0.03715546801686287,
|
2773 |
+
"learning_rate": 2.576842105263158e-06,
|
2774 |
+
"loss": 0.0007,
|
2775 |
+
"step": 3780
|
2776 |
+
},
|
2777 |
+
{
|
2778 |
+
"epoch": 6.064,
|
2779 |
+
"grad_norm": 0.024771861732006073,
|
2780 |
+
"learning_rate": 2.5557894736842108e-06,
|
2781 |
+
"loss": 0.0005,
|
2782 |
+
"step": 3790
|
2783 |
+
},
|
2784 |
+
{
|
2785 |
+
"epoch": 6.08,
|
2786 |
+
"grad_norm": 0.08074558526277542,
|
2787 |
+
"learning_rate": 2.534736842105263e-06,
|
2788 |
+
"loss": 0.0013,
|
2789 |
+
"step": 3800
|
2790 |
+
},
|
2791 |
+
{
|
2792 |
+
"epoch": 6.096,
|
2793 |
+
"grad_norm": 0.054898303002119064,
|
2794 |
+
"learning_rate": 2.513684210526316e-06,
|
2795 |
+
"loss": 0.0007,
|
2796 |
+
"step": 3810
|
2797 |
+
},
|
2798 |
+
{
|
2799 |
+
"epoch": 6.112,
|
2800 |
+
"grad_norm": 0.3437640070915222,
|
2801 |
+
"learning_rate": 2.4926315789473687e-06,
|
2802 |
+
"loss": 0.0007,
|
2803 |
+
"step": 3820
|
2804 |
+
},
|
2805 |
+
{
|
2806 |
+
"epoch": 6.128,
|
2807 |
+
"grad_norm": 0.12333539873361588,
|
2808 |
+
"learning_rate": 2.4715789473684214e-06,
|
2809 |
+
"loss": 0.0004,
|
2810 |
+
"step": 3830
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 6.144,
|
2814 |
+
"grad_norm": 0.027326831594109535,
|
2815 |
+
"learning_rate": 2.4505263157894736e-06,
|
2816 |
+
"loss": 0.0005,
|
2817 |
+
"step": 3840
|
2818 |
+
},
|
2819 |
+
{
|
2820 |
+
"epoch": 6.16,
|
2821 |
+
"grad_norm": 0.025773270055651665,
|
2822 |
+
"learning_rate": 2.4294736842105267e-06,
|
2823 |
+
"loss": 0.0005,
|
2824 |
+
"step": 3850
|
2825 |
+
},
|
2826 |
+
{
|
2827 |
+
"epoch": 6.176,
|
2828 |
+
"grad_norm": 0.04546317830681801,
|
2829 |
+
"learning_rate": 2.408421052631579e-06,
|
2830 |
+
"loss": 0.0009,
|
2831 |
+
"step": 3860
|
2832 |
+
},
|
2833 |
+
{
|
2834 |
+
"epoch": 6.192,
|
2835 |
+
"grad_norm": 0.054939109832048416,
|
2836 |
+
"learning_rate": 2.387368421052632e-06,
|
2837 |
+
"loss": 0.0005,
|
2838 |
+
"step": 3870
|
2839 |
+
},
|
2840 |
+
{
|
2841 |
+
"epoch": 6.208,
|
2842 |
+
"grad_norm": 0.17456945776939392,
|
2843 |
+
"learning_rate": 2.3663157894736842e-06,
|
2844 |
+
"loss": 0.0004,
|
2845 |
+
"step": 3880
|
2846 |
+
},
|
2847 |
+
{
|
2848 |
+
"epoch": 6.224,
|
2849 |
+
"grad_norm": 0.04125133529305458,
|
2850 |
+
"learning_rate": 2.3452631578947373e-06,
|
2851 |
+
"loss": 0.0004,
|
2852 |
+
"step": 3890
|
2853 |
+
},
|
2854 |
+
{
|
2855 |
+
"epoch": 6.24,
|
2856 |
+
"grad_norm": 0.2721328139305115,
|
2857 |
+
"learning_rate": 2.3242105263157895e-06,
|
2858 |
+
"loss": 0.0005,
|
2859 |
+
"step": 3900
|
2860 |
+
},
|
2861 |
+
{
|
2862 |
+
"epoch": 6.256,
|
2863 |
+
"grad_norm": 0.20841915905475616,
|
2864 |
+
"learning_rate": 2.3031578947368426e-06,
|
2865 |
+
"loss": 0.0004,
|
2866 |
+
"step": 3910
|
2867 |
+
},
|
2868 |
+
{
|
2869 |
+
"epoch": 6.272,
|
2870 |
+
"grad_norm": 0.024725254625082016,
|
2871 |
+
"learning_rate": 2.282105263157895e-06,
|
2872 |
+
"loss": 0.0011,
|
2873 |
+
"step": 3920
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 6.288,
|
2877 |
+
"grad_norm": 0.04614824429154396,
|
2878 |
+
"learning_rate": 2.2610526315789475e-06,
|
2879 |
+
"loss": 0.0004,
|
2880 |
+
"step": 3930
|
2881 |
+
},
|
2882 |
+
{
|
2883 |
+
"epoch": 6.304,
|
2884 |
+
"grad_norm": 0.02417997643351555,
|
2885 |
+
"learning_rate": 2.24e-06,
|
2886 |
+
"loss": 0.0004,
|
2887 |
+
"step": 3940
|
2888 |
+
},
|
2889 |
+
{
|
2890 |
+
"epoch": 6.32,
|
2891 |
+
"grad_norm": 0.025578554719686508,
|
2892 |
+
"learning_rate": 2.218947368421053e-06,
|
2893 |
+
"loss": 0.0005,
|
2894 |
+
"step": 3950
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 6.336,
|
2898 |
+
"grad_norm": 0.024059904739260674,
|
2899 |
+
"learning_rate": 2.1978947368421055e-06,
|
2900 |
+
"loss": 0.0004,
|
2901 |
+
"step": 3960
|
2902 |
+
},
|
2903 |
+
{
|
2904 |
+
"epoch": 6.352,
|
2905 |
+
"grad_norm": 0.01979261450469494,
|
2906 |
+
"learning_rate": 2.176842105263158e-06,
|
2907 |
+
"loss": 0.0006,
|
2908 |
+
"step": 3970
|
2909 |
+
},
|
2910 |
+
{
|
2911 |
+
"epoch": 6.368,
|
2912 |
+
"grad_norm": 0.0502333827316761,
|
2913 |
+
"learning_rate": 2.1557894736842108e-06,
|
2914 |
+
"loss": 0.0007,
|
2915 |
+
"step": 3980
|
2916 |
+
},
|
2917 |
+
{
|
2918 |
+
"epoch": 6.384,
|
2919 |
+
"grad_norm": 0.390522837638855,
|
2920 |
+
"learning_rate": 2.1347368421052634e-06,
|
2921 |
+
"loss": 0.0005,
|
2922 |
+
"step": 3990
|
2923 |
+
},
|
2924 |
+
{
|
2925 |
+
"epoch": 6.4,
|
2926 |
+
"grad_norm": 0.21075351536273956,
|
2927 |
+
"learning_rate": 2.1136842105263157e-06,
|
2928 |
+
"loss": 0.0008,
|
2929 |
+
"step": 4000
|
2930 |
+
},
|
2931 |
+
{
|
2932 |
+
"epoch": 6.4,
|
2933 |
+
"eval_loss": 0.03717663884162903,
|
2934 |
+
"eval_runtime": 1496.5829,
|
2935 |
+
"eval_samples_per_second": 3.77,
|
2936 |
+
"eval_steps_per_second": 3.77,
|
2937 |
+
"step": 4000
|
2938 |
+
},
|
2939 |
+
{
|
2940 |
+
"epoch": 6.416,
|
2941 |
+
"grad_norm": 0.08990900218486786,
|
2942 |
+
"learning_rate": 2.0926315789473687e-06,
|
2943 |
+
"loss": 0.0004,
|
2944 |
+
"step": 4010
|
2945 |
+
},
|
2946 |
+
{
|
2947 |
+
"epoch": 6.432,
|
2948 |
+
"grad_norm": 0.11204410344362259,
|
2949 |
+
"learning_rate": 2.071578947368421e-06,
|
2950 |
+
"loss": 0.0003,
|
2951 |
+
"step": 4020
|
2952 |
+
},
|
2953 |
+
{
|
2954 |
+
"epoch": 6.448,
|
2955 |
+
"grad_norm": 0.038647376000881195,
|
2956 |
+
"learning_rate": 2.050526315789474e-06,
|
2957 |
+
"loss": 0.0007,
|
2958 |
+
"step": 4030
|
2959 |
+
},
|
2960 |
+
{
|
2961 |
+
"epoch": 6.464,
|
2962 |
+
"grad_norm": 0.01824771985411644,
|
2963 |
+
"learning_rate": 2.0294736842105263e-06,
|
2964 |
+
"loss": 0.0003,
|
2965 |
+
"step": 4040
|
2966 |
+
},
|
2967 |
+
{
|
2968 |
+
"epoch": 6.48,
|
2969 |
+
"grad_norm": 0.02977917715907097,
|
2970 |
+
"learning_rate": 2.0084210526315794e-06,
|
2971 |
+
"loss": 0.0004,
|
2972 |
+
"step": 4050
|
2973 |
+
},
|
2974 |
+
{
|
2975 |
+
"epoch": 6.496,
|
2976 |
+
"grad_norm": 0.05292543023824692,
|
2977 |
+
"learning_rate": 1.9873684210526316e-06,
|
2978 |
+
"loss": 0.0005,
|
2979 |
+
"step": 4060
|
2980 |
+
},
|
2981 |
+
{
|
2982 |
+
"epoch": 6.5120000000000005,
|
2983 |
+
"grad_norm": 0.011542899534106255,
|
2984 |
+
"learning_rate": 1.9663157894736842e-06,
|
2985 |
+
"loss": 0.0005,
|
2986 |
+
"step": 4070
|
2987 |
+
},
|
2988 |
+
{
|
2989 |
+
"epoch": 6.5280000000000005,
|
2990 |
+
"grad_norm": 0.5990496277809143,
|
2991 |
+
"learning_rate": 1.945263157894737e-06,
|
2992 |
+
"loss": 0.0005,
|
2993 |
+
"step": 4080
|
2994 |
+
},
|
2995 |
+
{
|
2996 |
+
"epoch": 6.5440000000000005,
|
2997 |
+
"grad_norm": 0.8402637839317322,
|
2998 |
+
"learning_rate": 1.9242105263157896e-06,
|
2999 |
+
"loss": 0.0004,
|
3000 |
+
"step": 4090
|
3001 |
+
},
|
3002 |
+
{
|
3003 |
+
"epoch": 6.5600000000000005,
|
3004 |
+
"grad_norm": 0.02681225724518299,
|
3005 |
+
"learning_rate": 1.9031578947368424e-06,
|
3006 |
+
"loss": 0.0005,
|
3007 |
+
"step": 4100
|
3008 |
+
},
|
3009 |
+
{
|
3010 |
+
"epoch": 6.576,
|
3011 |
+
"grad_norm": 0.05136146768927574,
|
3012 |
+
"learning_rate": 1.8821052631578949e-06,
|
3013 |
+
"loss": 0.0009,
|
3014 |
+
"step": 4110
|
3015 |
+
},
|
3016 |
+
{
|
3017 |
+
"epoch": 6.592,
|
3018 |
+
"grad_norm": 0.02351960726082325,
|
3019 |
+
"learning_rate": 1.8610526315789475e-06,
|
3020 |
+
"loss": 0.0004,
|
3021 |
+
"step": 4120
|
3022 |
+
},
|
3023 |
+
{
|
3024 |
+
"epoch": 6.608,
|
3025 |
+
"grad_norm": 0.0421082004904747,
|
3026 |
+
"learning_rate": 1.8400000000000002e-06,
|
3027 |
+
"loss": 0.0005,
|
3028 |
+
"step": 4130
|
3029 |
+
},
|
3030 |
+
{
|
3031 |
+
"epoch": 6.624,
|
3032 |
+
"grad_norm": 0.039992865175008774,
|
3033 |
+
"learning_rate": 1.8189473684210528e-06,
|
3034 |
+
"loss": 0.0007,
|
3035 |
+
"step": 4140
|
3036 |
+
},
|
3037 |
+
{
|
3038 |
+
"epoch": 6.64,
|
3039 |
+
"grad_norm": 0.044527649879455566,
|
3040 |
+
"learning_rate": 1.7978947368421055e-06,
|
3041 |
+
"loss": 0.0014,
|
3042 |
+
"step": 4150
|
3043 |
+
},
|
3044 |
+
{
|
3045 |
+
"epoch": 6.656,
|
3046 |
+
"grad_norm": 0.3133164942264557,
|
3047 |
+
"learning_rate": 1.776842105263158e-06,
|
3048 |
+
"loss": 0.0011,
|
3049 |
+
"step": 4160
|
3050 |
+
},
|
3051 |
+
{
|
3052 |
+
"epoch": 6.672,
|
3053 |
+
"grad_norm": 0.013667403720319271,
|
3054 |
+
"learning_rate": 1.7557894736842108e-06,
|
3055 |
+
"loss": 0.0018,
|
3056 |
+
"step": 4170
|
3057 |
+
},
|
3058 |
+
{
|
3059 |
+
"epoch": 6.688,
|
3060 |
+
"grad_norm": 0.06877803057432175,
|
3061 |
+
"learning_rate": 1.7347368421052632e-06,
|
3062 |
+
"loss": 0.0003,
|
3063 |
+
"step": 4180
|
3064 |
+
},
|
3065 |
+
{
|
3066 |
+
"epoch": 6.704,
|
3067 |
+
"grad_norm": 0.03892038017511368,
|
3068 |
+
"learning_rate": 1.713684210526316e-06,
|
3069 |
+
"loss": 0.0003,
|
3070 |
+
"step": 4190
|
3071 |
+
},
|
3072 |
+
{
|
3073 |
+
"epoch": 6.72,
|
3074 |
+
"grad_norm": 0.05400446802377701,
|
3075 |
+
"learning_rate": 1.6926315789473685e-06,
|
3076 |
+
"loss": 0.0003,
|
3077 |
+
"step": 4200
|
3078 |
+
},
|
3079 |
+
{
|
3080 |
+
"epoch": 6.736,
|
3081 |
+
"grad_norm": 0.04348497465252876,
|
3082 |
+
"learning_rate": 1.6715789473684212e-06,
|
3083 |
+
"loss": 0.0012,
|
3084 |
+
"step": 4210
|
3085 |
+
},
|
3086 |
+
{
|
3087 |
+
"epoch": 6.752,
|
3088 |
+
"grad_norm": 0.1150202602148056,
|
3089 |
+
"learning_rate": 1.6505263157894739e-06,
|
3090 |
+
"loss": 0.0004,
|
3091 |
+
"step": 4220
|
3092 |
+
},
|
3093 |
+
{
|
3094 |
+
"epoch": 6.768,
|
3095 |
+
"grad_norm": 0.022777294740080833,
|
3096 |
+
"learning_rate": 1.6294736842105263e-06,
|
3097 |
+
"loss": 0.0003,
|
3098 |
+
"step": 4230
|
3099 |
+
},
|
3100 |
+
{
|
3101 |
+
"epoch": 6.784,
|
3102 |
+
"grad_norm": 0.05009898915886879,
|
3103 |
+
"learning_rate": 1.6084210526315792e-06,
|
3104 |
+
"loss": 0.0004,
|
3105 |
+
"step": 4240
|
3106 |
+
},
|
3107 |
+
{
|
3108 |
+
"epoch": 6.8,
|
3109 |
+
"grad_norm": 0.012213055975735188,
|
3110 |
+
"learning_rate": 1.5873684210526316e-06,
|
3111 |
+
"loss": 0.0003,
|
3112 |
+
"step": 4250
|
3113 |
+
},
|
3114 |
+
{
|
3115 |
+
"epoch": 6.8,
|
3116 |
+
"eval_loss": 0.03691783547401428,
|
3117 |
+
"eval_runtime": 1507.6111,
|
3118 |
+
"eval_samples_per_second": 3.742,
|
3119 |
+
"eval_steps_per_second": 3.742,
|
3120 |
+
"step": 4250
|
3121 |
+
},
|
3122 |
+
{
|
3123 |
+
"epoch": 6.816,
|
3124 |
+
"grad_norm": 0.23179693520069122,
|
3125 |
+
"learning_rate": 1.5663157894736845e-06,
|
3126 |
+
"loss": 0.0005,
|
3127 |
+
"step": 4260
|
3128 |
+
},
|
3129 |
+
{
|
3130 |
+
"epoch": 6.832,
|
3131 |
+
"grad_norm": 0.03861673176288605,
|
3132 |
+
"learning_rate": 1.545263157894737e-06,
|
3133 |
+
"loss": 0.0004,
|
3134 |
+
"step": 4270
|
3135 |
+
},
|
3136 |
+
{
|
3137 |
+
"epoch": 6.848,
|
3138 |
+
"grad_norm": 0.1452307105064392,
|
3139 |
+
"learning_rate": 1.5242105263157898e-06,
|
3140 |
+
"loss": 0.0003,
|
3141 |
+
"step": 4280
|
3142 |
+
},
|
3143 |
+
{
|
3144 |
+
"epoch": 6.864,
|
3145 |
+
"grad_norm": 0.050570085644721985,
|
3146 |
+
"learning_rate": 1.5031578947368422e-06,
|
3147 |
+
"loss": 0.0003,
|
3148 |
+
"step": 4290
|
3149 |
+
},
|
3150 |
+
{
|
3151 |
+
"epoch": 6.88,
|
3152 |
+
"grad_norm": 0.08024540543556213,
|
3153 |
+
"learning_rate": 1.482105263157895e-06,
|
3154 |
+
"loss": 0.0004,
|
3155 |
+
"step": 4300
|
3156 |
+
},
|
3157 |
+
{
|
3158 |
+
"epoch": 6.896,
|
3159 |
+
"grad_norm": 0.02591465599834919,
|
3160 |
+
"learning_rate": 1.4610526315789475e-06,
|
3161 |
+
"loss": 0.0005,
|
3162 |
+
"step": 4310
|
3163 |
+
},
|
3164 |
+
{
|
3165 |
+
"epoch": 6.912,
|
3166 |
+
"grad_norm": 0.01832268387079239,
|
3167 |
+
"learning_rate": 1.44e-06,
|
3168 |
+
"loss": 0.0004,
|
3169 |
+
"step": 4320
|
3170 |
+
},
|
3171 |
+
{
|
3172 |
+
"epoch": 6.928,
|
3173 |
+
"grad_norm": 0.044344332069158554,
|
3174 |
+
"learning_rate": 1.4189473684210528e-06,
|
3175 |
+
"loss": 0.0004,
|
3176 |
+
"step": 4330
|
3177 |
+
},
|
3178 |
+
{
|
3179 |
+
"epoch": 6.944,
|
3180 |
+
"grad_norm": 0.03570440039038658,
|
3181 |
+
"learning_rate": 1.3978947368421053e-06,
|
3182 |
+
"loss": 0.0003,
|
3183 |
+
"step": 4340
|
3184 |
+
},
|
3185 |
+
{
|
3186 |
+
"epoch": 6.96,
|
3187 |
+
"grad_norm": 0.18772557377815247,
|
3188 |
+
"learning_rate": 1.3768421052631582e-06,
|
3189 |
+
"loss": 0.0004,
|
3190 |
+
"step": 4350
|
3191 |
+
},
|
3192 |
+
{
|
3193 |
+
"epoch": 6.976,
|
3194 |
+
"grad_norm": 0.05984479933977127,
|
3195 |
+
"learning_rate": 1.3557894736842106e-06,
|
3196 |
+
"loss": 0.0003,
|
3197 |
+
"step": 4360
|
3198 |
+
},
|
3199 |
+
{
|
3200 |
+
"epoch": 6.992,
|
3201 |
+
"grad_norm": 0.3860021233558655,
|
3202 |
+
"learning_rate": 1.3347368421052635e-06,
|
3203 |
+
"loss": 0.0006,
|
3204 |
+
"step": 4370
|
3205 |
+
},
|
3206 |
+
{
|
3207 |
+
"epoch": 7.008,
|
3208 |
+
"grad_norm": 0.015999499708414078,
|
3209 |
+
"learning_rate": 1.313684210526316e-06,
|
3210 |
+
"loss": 0.0003,
|
3211 |
+
"step": 4380
|
3212 |
+
},
|
3213 |
+
{
|
3214 |
+
"epoch": 7.024,
|
3215 |
+
"grad_norm": 0.027498619630932808,
|
3216 |
+
"learning_rate": 1.2926315789473683e-06,
|
3217 |
+
"loss": 0.0002,
|
3218 |
+
"step": 4390
|
3219 |
+
},
|
3220 |
+
{
|
3221 |
+
"epoch": 7.04,
|
3222 |
+
"grad_norm": 0.24971920251846313,
|
3223 |
+
"learning_rate": 1.2715789473684212e-06,
|
3224 |
+
"loss": 0.0004,
|
3225 |
+
"step": 4400
|
3226 |
+
},
|
3227 |
+
{
|
3228 |
+
"epoch": 7.056,
|
3229 |
+
"grad_norm": 0.011065910570323467,
|
3230 |
+
"learning_rate": 1.2505263157894737e-06,
|
3231 |
+
"loss": 0.0003,
|
3232 |
+
"step": 4410
|
3233 |
+
},
|
3234 |
+
{
|
3235 |
+
"epoch": 7.072,
|
3236 |
+
"grad_norm": 0.01698007434606552,
|
3237 |
+
"learning_rate": 1.2294736842105263e-06,
|
3238 |
+
"loss": 0.0008,
|
3239 |
+
"step": 4420
|
3240 |
+
},
|
3241 |
+
{
|
3242 |
+
"epoch": 7.088,
|
3243 |
+
"grad_norm": 0.02532590739428997,
|
3244 |
+
"learning_rate": 1.208421052631579e-06,
|
3245 |
+
"loss": 0.0003,
|
3246 |
+
"step": 4430
|
3247 |
+
},
|
3248 |
+
{
|
3249 |
+
"epoch": 7.104,
|
3250 |
+
"grad_norm": 0.01716386154294014,
|
3251 |
+
"learning_rate": 1.1873684210526316e-06,
|
3252 |
+
"loss": 0.0003,
|
3253 |
+
"step": 4440
|
3254 |
+
},
|
3255 |
+
{
|
3256 |
+
"epoch": 7.12,
|
3257 |
+
"grad_norm": 0.016450321301817894,
|
3258 |
+
"learning_rate": 1.1663157894736843e-06,
|
3259 |
+
"loss": 0.0002,
|
3260 |
+
"step": 4450
|
3261 |
+
},
|
3262 |
+
{
|
3263 |
+
"epoch": 7.136,
|
3264 |
+
"grad_norm": 0.012627181597054005,
|
3265 |
+
"learning_rate": 1.145263157894737e-06,
|
3266 |
+
"loss": 0.0003,
|
3267 |
+
"step": 4460
|
3268 |
+
},
|
3269 |
+
{
|
3270 |
+
"epoch": 7.152,
|
3271 |
+
"grad_norm": 0.05683906376361847,
|
3272 |
+
"learning_rate": 1.1242105263157896e-06,
|
3273 |
+
"loss": 0.0003,
|
3274 |
+
"step": 4470
|
3275 |
+
},
|
3276 |
+
{
|
3277 |
+
"epoch": 7.168,
|
3278 |
+
"grad_norm": 0.03171288222074509,
|
3279 |
+
"learning_rate": 1.1031578947368422e-06,
|
3280 |
+
"loss": 0.0002,
|
3281 |
+
"step": 4480
|
3282 |
+
},
|
3283 |
+
{
|
3284 |
+
"epoch": 7.184,
|
3285 |
+
"grad_norm": 0.02577533759176731,
|
3286 |
+
"learning_rate": 1.082105263157895e-06,
|
3287 |
+
"loss": 0.0003,
|
3288 |
+
"step": 4490
|
3289 |
+
},
|
3290 |
+
{
|
3291 |
+
"epoch": 7.2,
|
3292 |
+
"grad_norm": 0.019202925264835358,
|
3293 |
+
"learning_rate": 1.0610526315789473e-06,
|
3294 |
+
"loss": 0.0003,
|
3295 |
+
"step": 4500
|
3296 |
+
},
|
3297 |
+
{
|
3298 |
+
"epoch": 7.2,
|
3299 |
+
"eval_loss": 0.037218254059553146,
|
3300 |
+
"eval_runtime": 1593.609,
|
3301 |
+
"eval_samples_per_second": 3.54,
|
3302 |
+
"eval_steps_per_second": 3.54,
|
3303 |
+
"step": 4500
|
3304 |
+
},
|
3305 |
+
{
|
3306 |
+
"epoch": 7.216,
|
3307 |
+
"grad_norm": 0.01943960040807724,
|
3308 |
+
"learning_rate": 1.04e-06,
|
3309 |
+
"loss": 0.0003,
|
3310 |
+
"step": 4510
|
3311 |
+
},
|
3312 |
+
{
|
3313 |
+
"epoch": 7.232,
|
3314 |
+
"grad_norm": 0.012748222798109055,
|
3315 |
+
"learning_rate": 1.0189473684210527e-06,
|
3316 |
+
"loss": 0.0002,
|
3317 |
+
"step": 4520
|
3318 |
+
},
|
3319 |
+
{
|
3320 |
+
"epoch": 7.248,
|
3321 |
+
"grad_norm": 0.017005812376737595,
|
3322 |
+
"learning_rate": 9.978947368421053e-07,
|
3323 |
+
"loss": 0.0003,
|
3324 |
+
"step": 4530
|
3325 |
+
},
|
3326 |
+
{
|
3327 |
+
"epoch": 7.264,
|
3328 |
+
"grad_norm": 0.024691853672266006,
|
3329 |
+
"learning_rate": 9.76842105263158e-07,
|
3330 |
+
"loss": 0.0002,
|
3331 |
+
"step": 4540
|
3332 |
+
},
|
3333 |
+
{
|
3334 |
+
"epoch": 7.28,
|
3335 |
+
"grad_norm": 0.3427879512310028,
|
3336 |
+
"learning_rate": 9.557894736842106e-07,
|
3337 |
+
"loss": 0.0004,
|
3338 |
+
"step": 4550
|
3339 |
+
},
|
3340 |
+
{
|
3341 |
+
"epoch": 7.296,
|
3342 |
+
"grad_norm": 0.03403201699256897,
|
3343 |
+
"learning_rate": 9.347368421052633e-07,
|
3344 |
+
"loss": 0.0002,
|
3345 |
+
"step": 4560
|
3346 |
+
},
|
3347 |
+
{
|
3348 |
+
"epoch": 7.312,
|
3349 |
+
"grad_norm": 0.022941039875149727,
|
3350 |
+
"learning_rate": 9.136842105263159e-07,
|
3351 |
+
"loss": 0.0003,
|
3352 |
+
"step": 4570
|
3353 |
+
},
|
3354 |
+
{
|
3355 |
+
"epoch": 7.328,
|
3356 |
+
"grad_norm": 0.032287679612636566,
|
3357 |
+
"learning_rate": 8.926315789473685e-07,
|
3358 |
+
"loss": 0.0002,
|
3359 |
+
"step": 4580
|
3360 |
+
},
|
3361 |
+
{
|
3362 |
+
"epoch": 7.344,
|
3363 |
+
"grad_norm": 0.013065003789961338,
|
3364 |
+
"learning_rate": 8.715789473684211e-07,
|
3365 |
+
"loss": 0.0002,
|
3366 |
+
"step": 4590
|
3367 |
+
},
|
3368 |
+
{
|
3369 |
+
"epoch": 7.36,
|
3370 |
+
"grad_norm": 0.026764079928398132,
|
3371 |
+
"learning_rate": 8.505263157894737e-07,
|
3372 |
+
"loss": 0.0002,
|
3373 |
+
"step": 4600
|
3374 |
+
},
|
3375 |
+
{
|
3376 |
+
"epoch": 7.376,
|
3377 |
+
"grad_norm": 0.013478124514222145,
|
3378 |
+
"learning_rate": 8.294736842105263e-07,
|
3379 |
+
"loss": 0.0002,
|
3380 |
+
"step": 4610
|
3381 |
+
},
|
3382 |
+
{
|
3383 |
+
"epoch": 7.392,
|
3384 |
+
"grad_norm": 0.014998686499893665,
|
3385 |
+
"learning_rate": 8.08421052631579e-07,
|
3386 |
+
"loss": 0.0003,
|
3387 |
+
"step": 4620
|
3388 |
+
},
|
3389 |
+
{
|
3390 |
+
"epoch": 7.408,
|
3391 |
+
"grad_norm": 0.015325380489230156,
|
3392 |
+
"learning_rate": 7.873684210526316e-07,
|
3393 |
+
"loss": 0.0002,
|
3394 |
+
"step": 4630
|
3395 |
+
},
|
3396 |
+
{
|
3397 |
+
"epoch": 7.424,
|
3398 |
+
"grad_norm": 0.018431052565574646,
|
3399 |
+
"learning_rate": 7.663157894736843e-07,
|
3400 |
+
"loss": 0.0002,
|
3401 |
+
"step": 4640
|
3402 |
+
},
|
3403 |
+
{
|
3404 |
+
"epoch": 7.44,
|
3405 |
+
"grad_norm": 0.01385441143065691,
|
3406 |
+
"learning_rate": 7.45263157894737e-07,
|
3407 |
+
"loss": 0.0003,
|
3408 |
+
"step": 4650
|
3409 |
+
},
|
3410 |
+
{
|
3411 |
+
"epoch": 7.456,
|
3412 |
+
"grad_norm": 0.018942181020975113,
|
3413 |
+
"learning_rate": 7.242105263157895e-07,
|
3414 |
+
"loss": 0.0002,
|
3415 |
+
"step": 4660
|
3416 |
+
},
|
3417 |
+
{
|
3418 |
+
"epoch": 7.4719999999999995,
|
3419 |
+
"grad_norm": 0.036915648728609085,
|
3420 |
+
"learning_rate": 7.031578947368422e-07,
|
3421 |
+
"loss": 0.0002,
|
3422 |
+
"step": 4670
|
3423 |
+
},
|
3424 |
+
{
|
3425 |
+
"epoch": 7.4879999999999995,
|
3426 |
+
"grad_norm": 0.053086813539266586,
|
3427 |
+
"learning_rate": 6.821052631578948e-07,
|
3428 |
+
"loss": 0.0002,
|
3429 |
+
"step": 4680
|
3430 |
+
},
|
3431 |
+
{
|
3432 |
+
"epoch": 7.504,
|
3433 |
+
"grad_norm": 0.028192859143018723,
|
3434 |
+
"learning_rate": 6.610526315789475e-07,
|
3435 |
+
"loss": 0.0003,
|
3436 |
+
"step": 4690
|
3437 |
+
},
|
3438 |
+
{
|
3439 |
+
"epoch": 7.52,
|
3440 |
+
"grad_norm": 0.6953186988830566,
|
3441 |
+
"learning_rate": 6.4e-07,
|
3442 |
+
"loss": 0.0005,
|
3443 |
+
"step": 4700
|
3444 |
+
},
|
3445 |
+
{
|
3446 |
+
"epoch": 7.536,
|
3447 |
+
"grad_norm": 0.016007578000426292,
|
3448 |
+
"learning_rate": 6.189473684210527e-07,
|
3449 |
+
"loss": 0.0002,
|
3450 |
+
"step": 4710
|
3451 |
+
},
|
3452 |
+
{
|
3453 |
+
"epoch": 7.552,
|
3454 |
+
"grad_norm": 0.029922867193818092,
|
3455 |
+
"learning_rate": 5.978947368421053e-07,
|
3456 |
+
"loss": 0.0003,
|
3457 |
+
"step": 4720
|
3458 |
+
},
|
3459 |
+
{
|
3460 |
+
"epoch": 7.568,
|
3461 |
+
"grad_norm": 0.01892116479575634,
|
3462 |
+
"learning_rate": 5.76842105263158e-07,
|
3463 |
+
"loss": 0.0003,
|
3464 |
+
"step": 4730
|
3465 |
+
},
|
3466 |
+
{
|
3467 |
+
"epoch": 7.584,
|
3468 |
+
"grad_norm": 0.03329944983124733,
|
3469 |
+
"learning_rate": 5.557894736842106e-07,
|
3470 |
+
"loss": 0.0002,
|
3471 |
+
"step": 4740
|
3472 |
+
},
|
3473 |
+
{
|
3474 |
+
"epoch": 7.6,
|
3475 |
+
"grad_norm": 0.025351159274578094,
|
3476 |
+
"learning_rate": 5.347368421052633e-07,
|
3477 |
+
"loss": 0.0002,
|
3478 |
+
"step": 4750
|
3479 |
+
},
|
3480 |
+
{
|
3481 |
+
"epoch": 7.6,
|
3482 |
+
"eval_loss": 0.03762885555624962,
|
3483 |
+
"eval_runtime": 1462.6796,
|
3484 |
+
"eval_samples_per_second": 3.857,
|
3485 |
+
"eval_steps_per_second": 3.857,
|
3486 |
+
"step": 4750
|
3487 |
+
},
|
3488 |
+
{
|
3489 |
+
"epoch": 7.616,
|
3490 |
+
"grad_norm": 0.017339129000902176,
|
3491 |
+
"learning_rate": 5.136842105263158e-07,
|
3492 |
+
"loss": 0.0002,
|
3493 |
+
"step": 4760
|
3494 |
+
},
|
3495 |
+
{
|
3496 |
+
"epoch": 7.632,
|
3497 |
+
"grad_norm": 0.016879908740520477,
|
3498 |
+
"learning_rate": 4.926315789473685e-07,
|
3499 |
+
"loss": 0.0004,
|
3500 |
+
"step": 4770
|
3501 |
+
},
|
3502 |
+
{
|
3503 |
+
"epoch": 7.648,
|
3504 |
+
"grad_norm": 0.02509094960987568,
|
3505 |
+
"learning_rate": 4.715789473684211e-07,
|
3506 |
+
"loss": 0.0002,
|
3507 |
+
"step": 4780
|
3508 |
+
},
|
3509 |
+
{
|
3510 |
+
"epoch": 7.664,
|
3511 |
+
"grad_norm": 0.017198877409100533,
|
3512 |
+
"learning_rate": 4.505263157894737e-07,
|
3513 |
+
"loss": 0.0003,
|
3514 |
+
"step": 4790
|
3515 |
+
},
|
3516 |
+
{
|
3517 |
+
"epoch": 7.68,
|
3518 |
+
"grad_norm": 0.014106789603829384,
|
3519 |
+
"learning_rate": 4.2947368421052635e-07,
|
3520 |
+
"loss": 0.0002,
|
3521 |
+
"step": 4800
|
3522 |
+
},
|
3523 |
+
{
|
3524 |
+
"epoch": 7.696,
|
3525 |
+
"grad_norm": 0.03618380054831505,
|
3526 |
+
"learning_rate": 4.08421052631579e-07,
|
3527 |
+
"loss": 0.0002,
|
3528 |
+
"step": 4810
|
3529 |
+
},
|
3530 |
+
{
|
3531 |
+
"epoch": 7.712,
|
3532 |
+
"grad_norm": 0.013972431421279907,
|
3533 |
+
"learning_rate": 3.873684210526316e-07,
|
3534 |
+
"loss": 0.0002,
|
3535 |
+
"step": 4820
|
3536 |
+
},
|
3537 |
+
{
|
3538 |
+
"epoch": 7.728,
|
3539 |
+
"grad_norm": 0.01894882321357727,
|
3540 |
+
"learning_rate": 3.663157894736842e-07,
|
3541 |
+
"loss": 0.0002,
|
3542 |
+
"step": 4830
|
3543 |
+
},
|
3544 |
+
{
|
3545 |
+
"epoch": 7.744,
|
3546 |
+
"grad_norm": 0.01931534893810749,
|
3547 |
+
"learning_rate": 3.4526315789473686e-07,
|
3548 |
+
"loss": 0.0003,
|
3549 |
+
"step": 4840
|
3550 |
+
},
|
3551 |
+
{
|
3552 |
+
"epoch": 7.76,
|
3553 |
+
"grad_norm": 0.015359962359070778,
|
3554 |
+
"learning_rate": 3.242105263157895e-07,
|
3555 |
+
"loss": 0.0002,
|
3556 |
+
"step": 4850
|
3557 |
+
},
|
3558 |
+
{
|
3559 |
+
"epoch": 7.776,
|
3560 |
+
"grad_norm": 0.0260631013661623,
|
3561 |
+
"learning_rate": 3.031578947368421e-07,
|
3562 |
+
"loss": 0.0002,
|
3563 |
+
"step": 4860
|
3564 |
+
},
|
3565 |
+
{
|
3566 |
+
"epoch": 7.792,
|
3567 |
+
"grad_norm": 0.06113347038626671,
|
3568 |
+
"learning_rate": 2.821052631578948e-07,
|
3569 |
+
"loss": 0.0002,
|
3570 |
+
"step": 4870
|
3571 |
+
},
|
3572 |
+
{
|
3573 |
+
"epoch": 7.808,
|
3574 |
+
"grad_norm": 0.0257665254175663,
|
3575 |
+
"learning_rate": 2.610526315789474e-07,
|
3576 |
+
"loss": 0.0003,
|
3577 |
+
"step": 4880
|
3578 |
+
},
|
3579 |
+
{
|
3580 |
+
"epoch": 7.824,
|
3581 |
+
"grad_norm": 0.01588517054915428,
|
3582 |
+
"learning_rate": 2.4000000000000003e-07,
|
3583 |
+
"loss": 0.0002,
|
3584 |
+
"step": 4890
|
3585 |
+
},
|
3586 |
+
{
|
3587 |
+
"epoch": 7.84,
|
3588 |
+
"grad_norm": 0.012915355153381824,
|
3589 |
+
"learning_rate": 2.1894736842105263e-07,
|
3590 |
+
"loss": 0.0002,
|
3591 |
+
"step": 4900
|
3592 |
+
},
|
3593 |
+
{
|
3594 |
+
"epoch": 7.856,
|
3595 |
+
"grad_norm": 0.01570785976946354,
|
3596 |
+
"learning_rate": 1.978947368421053e-07,
|
3597 |
+
"loss": 0.0002,
|
3598 |
+
"step": 4910
|
3599 |
+
},
|
3600 |
+
{
|
3601 |
+
"epoch": 7.872,
|
3602 |
+
"grad_norm": 0.020730208605527878,
|
3603 |
+
"learning_rate": 1.768421052631579e-07,
|
3604 |
+
"loss": 0.0002,
|
3605 |
+
"step": 4920
|
3606 |
+
},
|
3607 |
+
{
|
3608 |
+
"epoch": 7.888,
|
3609 |
+
"grad_norm": 0.03537014126777649,
|
3610 |
+
"learning_rate": 1.5578947368421054e-07,
|
3611 |
+
"loss": 0.0003,
|
3612 |
+
"step": 4930
|
3613 |
+
},
|
3614 |
+
{
|
3615 |
+
"epoch": 7.904,
|
3616 |
+
"grad_norm": 0.022489851340651512,
|
3617 |
+
"learning_rate": 1.3473684210526317e-07,
|
3618 |
+
"loss": 0.0002,
|
3619 |
+
"step": 4940
|
3620 |
+
},
|
3621 |
+
{
|
3622 |
+
"epoch": 7.92,
|
3623 |
+
"grad_norm": 0.017718670889735222,
|
3624 |
+
"learning_rate": 1.136842105263158e-07,
|
3625 |
+
"loss": 0.0002,
|
3626 |
+
"step": 4950
|
3627 |
+
},
|
3628 |
+
{
|
3629 |
+
"epoch": 7.936,
|
3630 |
+
"grad_norm": 0.016573410481214523,
|
3631 |
+
"learning_rate": 9.263157894736844e-08,
|
3632 |
+
"loss": 0.0007,
|
3633 |
+
"step": 4960
|
3634 |
+
},
|
3635 |
+
{
|
3636 |
+
"epoch": 7.952,
|
3637 |
+
"grad_norm": 0.008749530650675297,
|
3638 |
+
"learning_rate": 7.157894736842106e-08,
|
3639 |
+
"loss": 0.0003,
|
3640 |
+
"step": 4970
|
3641 |
+
},
|
3642 |
+
{
|
3643 |
+
"epoch": 7.968,
|
3644 |
+
"grad_norm": 0.04577890783548355,
|
3645 |
+
"learning_rate": 5.0526315789473687e-08,
|
3646 |
+
"loss": 0.0003,
|
3647 |
+
"step": 4980
|
3648 |
+
},
|
3649 |
+
{
|
3650 |
+
"epoch": 7.984,
|
3651 |
+
"grad_norm": 0.061525970697402954,
|
3652 |
+
"learning_rate": 2.9473684210526318e-08,
|
3653 |
+
"loss": 0.0002,
|
3654 |
+
"step": 4990
|
3655 |
+
},
|
3656 |
+
{
|
3657 |
+
"epoch": 8.0,
|
3658 |
+
"grad_norm": 0.029113447293639183,
|
3659 |
+
"learning_rate": 8.421052631578948e-09,
|
3660 |
+
"loss": 0.0002,
|
3661 |
+
"step": 5000
|
3662 |
+
},
|
3663 |
+
{
|
3664 |
+
"epoch": 8.0,
|
3665 |
+
"eval_loss": 0.03780149295926094,
|
3666 |
+
"eval_runtime": 1480.7553,
|
3667 |
+
"eval_samples_per_second": 3.81,
|
3668 |
+
"eval_steps_per_second": 3.81,
|
3669 |
+
"step": 5000
|
3670 |
+
}
|
3671 |
+
],
|
3672 |
+
"logging_steps": 10,
|
3673 |
+
"max_steps": 5000,
|
3674 |
+
"num_input_tokens_seen": 0,
|
3675 |
+
"num_train_epochs": 8,
|
3676 |
+
"save_steps": 500,
|
3677 |
+
"stateful_callbacks": {
|
3678 |
+
"TrainerControl": {
|
3679 |
+
"args": {
|
3680 |
+
"should_epoch_stop": false,
|
3681 |
+
"should_evaluate": false,
|
3682 |
+
"should_log": false,
|
3683 |
+
"should_save": true,
|
3684 |
+
"should_training_stop": true
|
3685 |
+
},
|
3686 |
+
"attributes": {}
|
3687 |
+
}
|
3688 |
+
},
|
3689 |
+
"total_flos": 2.727921844224e+20,
|
3690 |
+
"train_batch_size": 2,
|
3691 |
+
"trial_name": null,
|
3692 |
+
"trial_params": null
|
3693 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f73fd03d1966e401cedcf380fde8f9ebf7254af0885e9c8340e4adb16363e329
|
3 |
+
size 5304
|