winnieyangwannan commited on
Commit
dd1af31
·
verified ·
1 Parent(s): 044cb6e

Training in progress, step 300, checkpoint

Browse files
checkpoint-300/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2-7B-Instruct
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.14.0
checkpoint-300/adapter_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen2-7B-Instruct",
5
+ "bias": "none",
6
+ "eva_config": null,
7
+ "exclude_modules": null,
8
+ "fan_in_fan_out": false,
9
+ "inference_mode": true,
10
+ "init_lora_weights": true,
11
+ "layer_replication": null,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 32,
16
+ "lora_bias": false,
17
+ "lora_dropout": 0.05,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": null,
21
+ "peft_type": "LORA",
22
+ "r": 16,
23
+ "rank_pattern": {},
24
+ "revision": null,
25
+ "target_modules": [
26
+ "up_proj",
27
+ "gate_proj",
28
+ "v_proj",
29
+ "down_proj",
30
+ "o_proj",
31
+ "q_proj",
32
+ "k_proj"
33
+ ],
34
+ "task_type": "CAUSAL_LM",
35
+ "use_dora": false,
36
+ "use_rslora": false
37
+ }
checkpoint-300/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:50a797c96415508c534ebc290f57b943d028592456914e03cc70efff3cd52806
3
+ size 161533192
checkpoint-300/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
checkpoint-300/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-300/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7fea01c0d3708e7b288c3ec9978a93993c15b820625499b4fee848d3cc36c390
3
+ size 323290986
checkpoint-300/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2508ae9189982352f236e7a39bfcee5bc6f940cb7b371edec0499a2dc3bb0ec0
3
+ size 14244
checkpoint-300/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a3128d9e749d33f4ebd0cff231cf2d4474342e7a1fb8e4b138b5d974f5e55daf
3
+ size 1064
checkpoint-300/special_tokens_map.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|im_end|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": "<|im_end|>"
14
+ }
checkpoint-300/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:79faeb53ce66e372f424aa1072c822bd68c71927fb82a2c639b8120026616df5
3
+ size 11418364
checkpoint-300/tokenizer_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ }
28
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|im_end|>",
37
+ "errors": "replace",
38
+ "extra_special_tokens": {},
39
+ "model_max_length": 131072,
40
+ "pad_token": "<|im_end|>",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null
44
+ }
checkpoint-300/trainer_state.json ADDED
@@ -0,0 +1,291 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.3181336161187699,
5
+ "eval_steps": 50,
6
+ "global_step": 300,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.010604453870625663,
13
+ "grad_norm": 2.0663416385650635,
14
+ "learning_rate": 4.982325910215624e-05,
15
+ "loss": 1.91,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.021208907741251327,
20
+ "grad_norm": 0.7459995746612549,
21
+ "learning_rate": 4.964651820431248e-05,
22
+ "loss": 1.0094,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.031813361611876985,
27
+ "grad_norm": 0.656954824924469,
28
+ "learning_rate": 4.946977730646872e-05,
29
+ "loss": 0.8052,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.042417815482502653,
34
+ "grad_norm": 0.7273707389831543,
35
+ "learning_rate": 4.929303640862496e-05,
36
+ "loss": 0.7145,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.053022269353128315,
41
+ "grad_norm": 0.6689164042472839,
42
+ "learning_rate": 4.91162955107812e-05,
43
+ "loss": 0.6797,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.053022269353128315,
48
+ "eval_loss": 0.8142186403274536,
49
+ "eval_runtime": 11.794,
50
+ "eval_samples_per_second": 40.699,
51
+ "eval_steps_per_second": 2.544,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 0.06362672322375397,
56
+ "grad_norm": 0.6781293749809265,
57
+ "learning_rate": 4.893955461293744e-05,
58
+ "loss": 0.6249,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 0.07423117709437964,
63
+ "grad_norm": 0.6776543259620667,
64
+ "learning_rate": 4.876281371509368e-05,
65
+ "loss": 0.612,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 0.08483563096500531,
70
+ "grad_norm": 0.7603946924209595,
71
+ "learning_rate": 4.858607281724991e-05,
72
+ "loss": 0.5998,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 0.09544008483563096,
77
+ "grad_norm": 0.7581377029418945,
78
+ "learning_rate": 4.8409331919406155e-05,
79
+ "loss": 0.6032,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 0.10604453870625663,
84
+ "grad_norm": 0.7402133345603943,
85
+ "learning_rate": 4.823259102156239e-05,
86
+ "loss": 0.5912,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 0.10604453870625663,
91
+ "eval_loss": 0.7294260859489441,
92
+ "eval_runtime": 11.8272,
93
+ "eval_samples_per_second": 40.585,
94
+ "eval_steps_per_second": 2.537,
95
+ "step": 100
96
+ },
97
+ {
98
+ "epoch": 0.11664899257688228,
99
+ "grad_norm": 0.8224169015884399,
100
+ "learning_rate": 4.8055850123718633e-05,
101
+ "loss": 0.578,
102
+ "step": 110
103
+ },
104
+ {
105
+ "epoch": 0.12725344644750794,
106
+ "grad_norm": 0.7843881249427795,
107
+ "learning_rate": 4.7879109225874866e-05,
108
+ "loss": 0.5751,
109
+ "step": 120
110
+ },
111
+ {
112
+ "epoch": 0.1378579003181336,
113
+ "grad_norm": 0.772152304649353,
114
+ "learning_rate": 4.770236832803111e-05,
115
+ "loss": 0.5471,
116
+ "step": 130
117
+ },
118
+ {
119
+ "epoch": 0.14846235418875928,
120
+ "grad_norm": 0.6972452998161316,
121
+ "learning_rate": 4.7525627430187344e-05,
122
+ "loss": 0.5516,
123
+ "step": 140
124
+ },
125
+ {
126
+ "epoch": 0.15906680805938495,
127
+ "grad_norm": 0.7806265354156494,
128
+ "learning_rate": 4.734888653234359e-05,
129
+ "loss": 0.5263,
130
+ "step": 150
131
+ },
132
+ {
133
+ "epoch": 0.15906680805938495,
134
+ "eval_loss": 0.6928939819335938,
135
+ "eval_runtime": 11.8093,
136
+ "eval_samples_per_second": 40.646,
137
+ "eval_steps_per_second": 2.54,
138
+ "step": 150
139
+ },
140
+ {
141
+ "epoch": 0.16967126193001061,
142
+ "grad_norm": 0.7372023463249207,
143
+ "learning_rate": 4.717214563449982e-05,
144
+ "loss": 0.5715,
145
+ "step": 160
146
+ },
147
+ {
148
+ "epoch": 0.18027571580063625,
149
+ "grad_norm": 0.8236038684844971,
150
+ "learning_rate": 4.699540473665606e-05,
151
+ "loss": 0.4987,
152
+ "step": 170
153
+ },
154
+ {
155
+ "epoch": 0.19088016967126192,
156
+ "grad_norm": 0.8057310581207275,
157
+ "learning_rate": 4.681866383881231e-05,
158
+ "loss": 0.5097,
159
+ "step": 180
160
+ },
161
+ {
162
+ "epoch": 0.2014846235418876,
163
+ "grad_norm": 0.7124797105789185,
164
+ "learning_rate": 4.664192294096854e-05,
165
+ "loss": 0.4952,
166
+ "step": 190
167
+ },
168
+ {
169
+ "epoch": 0.21208907741251326,
170
+ "grad_norm": 0.7755710482597351,
171
+ "learning_rate": 4.6465182043124786e-05,
172
+ "loss": 0.497,
173
+ "step": 200
174
+ },
175
+ {
176
+ "epoch": 0.21208907741251326,
177
+ "eval_loss": 0.6748186349868774,
178
+ "eval_runtime": 11.8077,
179
+ "eval_samples_per_second": 40.651,
180
+ "eval_steps_per_second": 2.541,
181
+ "step": 200
182
+ },
183
+ {
184
+ "epoch": 0.22269353128313893,
185
+ "grad_norm": 0.912337064743042,
186
+ "learning_rate": 4.628844114528102e-05,
187
+ "loss": 0.4997,
188
+ "step": 210
189
+ },
190
+ {
191
+ "epoch": 0.23329798515376457,
192
+ "grad_norm": 0.771654486656189,
193
+ "learning_rate": 4.6111700247437265e-05,
194
+ "loss": 0.5027,
195
+ "step": 220
196
+ },
197
+ {
198
+ "epoch": 0.24390243902439024,
199
+ "grad_norm": 0.8241815567016602,
200
+ "learning_rate": 4.59349593495935e-05,
201
+ "loss": 0.5196,
202
+ "step": 230
203
+ },
204
+ {
205
+ "epoch": 0.2545068928950159,
206
+ "grad_norm": 0.7876004576683044,
207
+ "learning_rate": 4.5758218451749736e-05,
208
+ "loss": 0.4791,
209
+ "step": 240
210
+ },
211
+ {
212
+ "epoch": 0.2651113467656416,
213
+ "grad_norm": 0.7941911816596985,
214
+ "learning_rate": 4.5581477553905975e-05,
215
+ "loss": 0.5078,
216
+ "step": 250
217
+ },
218
+ {
219
+ "epoch": 0.2651113467656416,
220
+ "eval_loss": 0.653518795967102,
221
+ "eval_runtime": 11.7906,
222
+ "eval_samples_per_second": 40.71,
223
+ "eval_steps_per_second": 2.544,
224
+ "step": 250
225
+ },
226
+ {
227
+ "epoch": 0.2757158006362672,
228
+ "grad_norm": 0.8866105079650879,
229
+ "learning_rate": 4.5404736656062215e-05,
230
+ "loss": 0.477,
231
+ "step": 260
232
+ },
233
+ {
234
+ "epoch": 0.2863202545068929,
235
+ "grad_norm": 0.8498968482017517,
236
+ "learning_rate": 4.5227995758218454e-05,
237
+ "loss": 0.4926,
238
+ "step": 270
239
+ },
240
+ {
241
+ "epoch": 0.29692470837751855,
242
+ "grad_norm": 0.8863232135772705,
243
+ "learning_rate": 4.505125486037469e-05,
244
+ "loss": 0.463,
245
+ "step": 280
246
+ },
247
+ {
248
+ "epoch": 0.3075291622481442,
249
+ "grad_norm": 0.9501034021377563,
250
+ "learning_rate": 4.487451396253093e-05,
251
+ "loss": 0.4809,
252
+ "step": 290
253
+ },
254
+ {
255
+ "epoch": 0.3181336161187699,
256
+ "grad_norm": 0.7933001518249512,
257
+ "learning_rate": 4.469777306468717e-05,
258
+ "loss": 0.4941,
259
+ "step": 300
260
+ },
261
+ {
262
+ "epoch": 0.3181336161187699,
263
+ "eval_loss": 0.6434358954429626,
264
+ "eval_runtime": 11.7969,
265
+ "eval_samples_per_second": 40.689,
266
+ "eval_steps_per_second": 2.543,
267
+ "step": 300
268
+ }
269
+ ],
270
+ "logging_steps": 10,
271
+ "max_steps": 2829,
272
+ "num_input_tokens_seen": 0,
273
+ "num_train_epochs": 3,
274
+ "save_steps": 100,
275
+ "stateful_callbacks": {
276
+ "TrainerControl": {
277
+ "args": {
278
+ "should_epoch_stop": false,
279
+ "should_evaluate": false,
280
+ "should_log": false,
281
+ "should_save": true,
282
+ "should_training_stop": false
283
+ },
284
+ "attributes": {}
285
+ }
286
+ },
287
+ "total_flos": 3.109834733838336e+16,
288
+ "train_batch_size": 16,
289
+ "trial_name": null,
290
+ "trial_params": null
291
+ }
checkpoint-300/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:872835407be2a0a95214d9cc3b7966660b3e25cbfda85f13ed9adad96c071793
3
+ size 5880
checkpoint-300/vocab.json ADDED
The diff for this file is too large to render. See raw diff