Ateeqq commited on
Commit
70c364b
·
verified ·
1 Parent(s): ce8609f

Upload 6 files

Browse files
all-epochs-results.png ADDED
config.json CHANGED
@@ -3,13 +3,13 @@
3
  "SiglipForImageClassification"
4
  ],
5
  "id2label": {
6
- "0": "graphically_violent",
7
  "1": "nudity_pornography",
8
  "2": "safe_normal"
9
  },
10
  "initializer_factor": 1.0,
11
  "label2id": {
12
- "graphically_violent": 0,
13
  "nudity_pornography": 1,
14
  "safe_normal": 2
15
  },
 
3
  "SiglipForImageClassification"
4
  ],
5
  "id2label": {
6
+ "0": "gore_bloodshed_violent",
7
  "1": "nudity_pornography",
8
  "2": "safe_normal"
9
  },
10
  "initializer_factor": 1.0,
11
  "label2id": {
12
+ "gore_bloodshed_violent": 0,
13
  "nudity_pornography": 1,
14
  "safe_normal": 2
15
  },
final-epoch-results.png ADDED
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7541d68daed78cf4780c419127d45eb57fff849c0b503118c5c605cdfbab2f2b
3
  size 371571068
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:afebd83399df7958b9c8820048799d099334a3a1c732a0d7b0345d38aa27f3c5
3
  size 371571068
trainer_state.json CHANGED
@@ -1,256 +1,442 @@
1
  {
2
- "best_global_step": 306,
3
- "best_metric": 0.9845288326300985,
4
- "best_model_checkpoint": "siglip2-safety-classifier-gpu/checkpoint-306",
5
- "epoch": 3.0,
6
  "eval_steps": 500,
7
- "global_step": 306,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
12
  {
13
- "epoch": 0.09803921568627451,
14
- "grad_norm": 17.626625061035156,
15
- "learning_rate": 2.5e-06,
16
- "loss": 1.1335,
17
  "step": 10
18
  },
19
  {
20
- "epoch": 0.19607843137254902,
21
- "grad_norm": 10.657720565795898,
22
- "learning_rate": 5.2777777777777785e-06,
23
- "loss": 0.7086,
24
  "step": 20
25
  },
26
  {
27
- "epoch": 0.29411764705882354,
28
- "grad_norm": 6.507628440856934,
29
- "learning_rate": 8.055555555555557e-06,
30
- "loss": 0.2973,
31
  "step": 30
32
  },
33
  {
34
- "epoch": 0.39215686274509803,
35
- "grad_norm": 19.603195190429688,
36
- "learning_rate": 1.0833333333333334e-05,
37
- "loss": 0.1598,
38
  "step": 40
39
  },
40
  {
41
- "epoch": 0.49019607843137253,
42
- "grad_norm": 4.1803460121154785,
43
- "learning_rate": 1.3611111111111113e-05,
44
- "loss": 0.1714,
45
  "step": 50
46
  },
47
  {
48
- "epoch": 0.5882352941176471,
49
- "grad_norm": 25.094463348388672,
50
- "learning_rate": 1.638888888888889e-05,
51
- "loss": 0.1481,
52
  "step": 60
53
  },
54
  {
55
- "epoch": 0.6862745098039216,
56
- "grad_norm": 7.0236897468566895,
57
- "learning_rate": 1.916666666666667e-05,
58
- "loss": 0.1073,
59
  "step": 70
60
  },
61
  {
62
- "epoch": 0.7843137254901961,
63
- "grad_norm": 11.48787784576416,
64
- "learning_rate": 1.9781931464174458e-05,
65
- "loss": 0.0816,
66
  "step": 80
67
  },
68
  {
69
- "epoch": 0.8823529411764706,
70
- "grad_norm": 13.502949714660645,
71
- "learning_rate": 1.947040498442368e-05,
72
- "loss": 0.1205,
73
  "step": 90
74
  },
75
  {
76
- "epoch": 0.9803921568627451,
77
- "grad_norm": 13.85872745513916,
78
- "learning_rate": 1.91588785046729e-05,
79
- "loss": 0.1086,
80
  "step": 100
81
  },
82
  {
83
  "epoch": 1.0,
84
- "eval_accuracy": 0.9704641350210971,
85
- "eval_loss": 0.08171376585960388,
86
- "eval_runtime": 483.9596,
87
- "eval_samples_per_second": 1.469,
88
  "eval_steps_per_second": 0.012,
89
- "step": 102
90
  },
91
  {
92
- "epoch": 1.0784313725490196,
93
- "grad_norm": 9.396234512329102,
94
- "learning_rate": 1.8847352024922122e-05,
95
- "loss": 0.0546,
96
  "step": 110
97
  },
98
  {
99
- "epoch": 1.1764705882352942,
100
- "grad_norm": 3.7309114933013916,
101
- "learning_rate": 1.853582554517134e-05,
102
- "loss": 0.0574,
103
  "step": 120
104
  },
105
  {
106
- "epoch": 1.2745098039215685,
107
- "grad_norm": 17.068557739257812,
108
- "learning_rate": 1.8224299065420564e-05,
109
- "loss": 0.0554,
110
  "step": 130
111
  },
112
  {
113
- "epoch": 1.3725490196078431,
114
- "grad_norm": 3.3367063999176025,
115
- "learning_rate": 1.7912772585669783e-05,
116
- "loss": 0.0645,
117
  "step": 140
118
  },
119
  {
120
- "epoch": 1.4705882352941178,
121
- "grad_norm": 10.730944633483887,
122
- "learning_rate": 1.7601246105919006e-05,
123
- "loss": 0.0565,
124
  "step": 150
125
  },
126
  {
127
- "epoch": 1.5686274509803921,
128
- "grad_norm": 14.649934768676758,
129
- "learning_rate": 1.7289719626168225e-05,
130
- "loss": 0.083,
131
  "step": 160
132
  },
133
  {
134
- "epoch": 1.6666666666666665,
135
- "grad_norm": 14.909839630126953,
136
- "learning_rate": 1.6978193146417448e-05,
137
- "loss": 0.0385,
138
  "step": 170
139
  },
140
  {
141
- "epoch": 1.7647058823529411,
142
- "grad_norm": 3.265110731124878,
143
- "learning_rate": 1.6666666666666667e-05,
144
- "loss": 0.1152,
145
  "step": 180
146
  },
147
  {
148
- "epoch": 1.8627450980392157,
149
- "grad_norm": 7.800755023956299,
150
- "learning_rate": 1.635514018691589e-05,
151
- "loss": 0.0867,
152
  "step": 190
153
  },
154
  {
155
- "epoch": 1.9607843137254903,
156
- "grad_norm": 12.775182723999023,
157
- "learning_rate": 1.604361370716511e-05,
158
- "loss": 0.0415,
159
  "step": 200
160
  },
161
  {
162
- "epoch": 2.0,
163
- "eval_accuracy": 0.9549929676511955,
164
- "eval_loss": 0.12330988794565201,
165
- "eval_runtime": 14.4147,
166
- "eval_samples_per_second": 49.325,
167
- "eval_steps_per_second": 0.416,
168
- "step": 204
169
- },
170
- {
171
- "epoch": 2.0588235294117645,
172
- "grad_norm": 18.324607849121094,
173
- "learning_rate": 1.5732087227414332e-05,
174
- "loss": 0.0649,
175
  "step": 210
176
  },
177
  {
178
- "epoch": 2.156862745098039,
179
- "grad_norm": 1.119167685508728,
180
- "learning_rate": 1.5420560747663555e-05,
181
- "loss": 0.0288,
 
 
 
 
 
 
 
 
 
182
  "step": 220
183
  },
184
  {
185
- "epoch": 2.2549019607843137,
186
- "grad_norm": 13.742692947387695,
187
- "learning_rate": 1.5109034267912774e-05,
188
- "loss": 0.0569,
189
  "step": 230
190
  },
191
  {
192
- "epoch": 2.3529411764705883,
193
- "grad_norm": 1.8996661901474,
194
- "learning_rate": 1.4797507788161995e-05,
195
- "loss": 0.0071,
196
  "step": 240
197
  },
198
  {
199
- "epoch": 2.450980392156863,
200
- "grad_norm": 13.215072631835938,
201
- "learning_rate": 1.4485981308411216e-05,
202
- "loss": 0.0294,
203
  "step": 250
204
  },
205
  {
206
- "epoch": 2.549019607843137,
207
- "grad_norm": 32.19113540649414,
208
- "learning_rate": 1.4174454828660437e-05,
209
- "loss": 0.0217,
210
  "step": 260
211
  },
212
  {
213
- "epoch": 2.6470588235294117,
214
- "grad_norm": 7.469207286834717,
215
- "learning_rate": 1.3862928348909658e-05,
216
- "loss": 0.0194,
217
  "step": 270
218
  },
219
  {
220
- "epoch": 2.7450980392156863,
221
- "grad_norm": 2.948065996170044,
222
- "learning_rate": 1.355140186915888e-05,
223
- "loss": 0.017,
224
  "step": 280
225
  },
226
  {
227
- "epoch": 2.843137254901961,
228
- "grad_norm": 0.15147125720977783,
229
- "learning_rate": 1.3239875389408102e-05,
230
- "loss": 0.0186,
231
  "step": 290
232
  },
233
  {
234
- "epoch": 2.9411764705882355,
235
- "grad_norm": 0.9559997320175171,
236
- "learning_rate": 1.2928348909657323e-05,
237
- "loss": 0.0302,
238
  "step": 300
239
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
240
  {
241
  "epoch": 3.0,
242
- "eval_accuracy": 0.9845288326300985,
243
- "eval_loss": 0.05156884714961052,
244
- "eval_runtime": 14.9504,
245
- "eval_samples_per_second": 47.557,
246
- "eval_steps_per_second": 0.401,
247
- "step": 306
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
248
  }
249
  ],
250
  "logging_steps": 10,
251
- "max_steps": 714,
252
  "num_input_tokens_seen": 0,
253
- "num_train_epochs": 7,
254
  "save_steps": 500,
255
  "stateful_callbacks": {
256
  "TrainerControl": {
@@ -259,12 +445,12 @@
259
  "should_evaluate": false,
260
  "should_log": false,
261
  "should_save": true,
262
- "should_training_stop": false
263
  },
264
  "attributes": {}
265
  }
266
  },
267
- "total_flos": 1.6395274262481408e+18,
268
  "train_batch_size": 64,
269
  "trial_name": null,
270
  "trial_params": null
 
1
  {
2
+ "best_global_step": 540,
3
+ "best_metric": 0.9902912621359223,
4
+ "best_model_checkpoint": "siglip2-safety-classifier-gpu/checkpoint-540",
5
+ "epoch": 5.0,
6
  "eval_steps": 500,
7
+ "global_step": 540,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
11
  "log_history": [
12
  {
13
+ "epoch": 0.09259259259259259,
14
+ "grad_norm": 18.160818099975586,
15
+ "learning_rate": 3.3333333333333333e-06,
16
+ "loss": 1.2783,
17
  "step": 10
18
  },
19
  {
20
+ "epoch": 0.18518518518518517,
21
+ "grad_norm": 10.24544620513916,
22
+ "learning_rate": 7.0370370370370375e-06,
23
+ "loss": 0.6332,
24
  "step": 20
25
  },
26
  {
27
+ "epoch": 0.2777777777777778,
28
+ "grad_norm": 17.5,
29
+ "learning_rate": 1.0740740740740742e-05,
30
+ "loss": 0.1997,
31
  "step": 30
32
  },
33
  {
34
+ "epoch": 0.37037037037037035,
35
+ "grad_norm": 14.133856773376465,
36
+ "learning_rate": 1.4444444444444446e-05,
37
+ "loss": 0.1811,
38
  "step": 40
39
  },
40
  {
41
+ "epoch": 0.46296296296296297,
42
+ "grad_norm": 19.16523551940918,
43
+ "learning_rate": 1.814814814814815e-05,
44
+ "loss": 0.1333,
45
  "step": 50
46
  },
47
  {
48
+ "epoch": 0.5555555555555556,
49
+ "grad_norm": 11.17337417602539,
50
+ "learning_rate": 1.9794238683127574e-05,
51
+ "loss": 0.1199,
52
  "step": 60
53
  },
54
  {
55
+ "epoch": 0.6481481481481481,
56
+ "grad_norm": 7.410611629486084,
57
+ "learning_rate": 1.9382716049382716e-05,
58
+ "loss": 0.1124,
59
  "step": 70
60
  },
61
  {
62
+ "epoch": 0.7407407407407407,
63
+ "grad_norm": 10.085607528686523,
64
+ "learning_rate": 1.897119341563786e-05,
65
+ "loss": 0.0781,
66
  "step": 80
67
  },
68
  {
69
+ "epoch": 0.8333333333333334,
70
+ "grad_norm": 16.18837547302246,
71
+ "learning_rate": 1.8559670781893006e-05,
72
+ "loss": 0.0784,
73
  "step": 90
74
  },
75
  {
76
+ "epoch": 0.9259259259259259,
77
+ "grad_norm": 6.59160852432251,
78
+ "learning_rate": 1.814814814814815e-05,
79
+ "loss": 0.0765,
80
  "step": 100
81
  },
82
  {
83
  "epoch": 1.0,
84
+ "eval_accuracy": 0.957004160887656,
85
+ "eval_loss": 0.11661814898252487,
86
+ "eval_runtime": 493.3151,
87
+ "eval_samples_per_second": 1.462,
88
  "eval_steps_per_second": 0.012,
89
+ "step": 108
90
  },
91
  {
92
+ "epoch": 1.0185185185185186,
93
+ "grad_norm": 9.127604484558105,
94
+ "learning_rate": 1.7736625514403292e-05,
95
+ "loss": 0.0731,
96
  "step": 110
97
  },
98
  {
99
+ "epoch": 1.1111111111111112,
100
+ "grad_norm": 1.9313466548919678,
101
+ "learning_rate": 1.7325102880658437e-05,
102
+ "loss": 0.0482,
103
  "step": 120
104
  },
105
  {
106
+ "epoch": 1.2037037037037037,
107
+ "grad_norm": 7.32771110534668,
108
+ "learning_rate": 1.6913580246913582e-05,
109
+ "loss": 0.1044,
110
  "step": 130
111
  },
112
  {
113
+ "epoch": 1.2962962962962963,
114
+ "grad_norm": 8.17588996887207,
115
+ "learning_rate": 1.6502057613168724e-05,
116
+ "loss": 0.0443,
117
  "step": 140
118
  },
119
  {
120
+ "epoch": 1.3888888888888888,
121
+ "grad_norm": 12.087420463562012,
122
+ "learning_rate": 1.609053497942387e-05,
123
+ "loss": 0.1085,
124
  "step": 150
125
  },
126
  {
127
+ "epoch": 1.4814814814814814,
128
+ "grad_norm": 1.2191157341003418,
129
+ "learning_rate": 1.5679012345679014e-05,
130
+ "loss": 0.0453,
131
  "step": 160
132
  },
133
  {
134
+ "epoch": 1.574074074074074,
135
+ "grad_norm": 5.7437214851379395,
136
+ "learning_rate": 1.526748971193416e-05,
137
+ "loss": 0.0602,
138
  "step": 170
139
  },
140
  {
141
+ "epoch": 1.6666666666666665,
142
+ "grad_norm": 13.178461074829102,
143
+ "learning_rate": 1.4855967078189302e-05,
144
+ "loss": 0.0449,
145
  "step": 180
146
  },
147
  {
148
+ "epoch": 1.7592592592592593,
149
+ "grad_norm": 9.519292831420898,
150
+ "learning_rate": 1.4444444444444446e-05,
151
+ "loss": 0.0401,
152
  "step": 190
153
  },
154
  {
155
+ "epoch": 1.8518518518518519,
156
+ "grad_norm": 1.4579272270202637,
157
+ "learning_rate": 1.4032921810699589e-05,
158
+ "loss": 0.0303,
159
  "step": 200
160
  },
161
  {
162
+ "epoch": 1.9444444444444444,
163
+ "grad_norm": 0.9165997505187988,
164
+ "learning_rate": 1.3621399176954732e-05,
165
+ "loss": 0.0719,
 
 
 
 
 
 
 
 
 
166
  "step": 210
167
  },
168
  {
169
+ "epoch": 2.0,
170
+ "eval_accuracy": 0.9833564493758669,
171
+ "eval_loss": 0.04773035645484924,
172
+ "eval_runtime": 15.0873,
173
+ "eval_samples_per_second": 47.789,
174
+ "eval_steps_per_second": 0.398,
175
+ "step": 216
176
+ },
177
+ {
178
+ "epoch": 2.037037037037037,
179
+ "grad_norm": 0.2045925259590149,
180
+ "learning_rate": 1.320987654320988e-05,
181
+ "loss": 0.012,
182
  "step": 220
183
  },
184
  {
185
+ "epoch": 2.1296296296296298,
186
+ "grad_norm": 8.080462455749512,
187
+ "learning_rate": 1.2798353909465022e-05,
188
+ "loss": 0.0285,
189
  "step": 230
190
  },
191
  {
192
+ "epoch": 2.2222222222222223,
193
+ "grad_norm": 13.729266166687012,
194
+ "learning_rate": 1.2386831275720166e-05,
195
+ "loss": 0.0682,
196
  "step": 240
197
  },
198
  {
199
+ "epoch": 2.314814814814815,
200
+ "grad_norm": 0.25596556067466736,
201
+ "learning_rate": 1.1975308641975309e-05,
202
+ "loss": 0.0227,
203
  "step": 250
204
  },
205
  {
206
+ "epoch": 2.4074074074074074,
207
+ "grad_norm": 0.7740411162376404,
208
+ "learning_rate": 1.1563786008230452e-05,
209
+ "loss": 0.0115,
210
  "step": 260
211
  },
212
  {
213
+ "epoch": 2.5,
214
+ "grad_norm": 0.7759154438972473,
215
+ "learning_rate": 1.1152263374485597e-05,
216
+ "loss": 0.0163,
217
  "step": 270
218
  },
219
  {
220
+ "epoch": 2.5925925925925926,
221
+ "grad_norm": 14.926816940307617,
222
+ "learning_rate": 1.0740740740740742e-05,
223
+ "loss": 0.0227,
224
  "step": 280
225
  },
226
  {
227
+ "epoch": 2.685185185185185,
228
+ "grad_norm": 0.1603471040725708,
229
+ "learning_rate": 1.0329218106995886e-05,
230
+ "loss": 0.0166,
231
  "step": 290
232
  },
233
  {
234
+ "epoch": 2.7777777777777777,
235
+ "grad_norm": 9.345807075500488,
236
+ "learning_rate": 9.91769547325103e-06,
237
+ "loss": 0.021,
238
  "step": 300
239
  },
240
+ {
241
+ "epoch": 2.8703703703703702,
242
+ "grad_norm": 10.676541328430176,
243
+ "learning_rate": 9.506172839506174e-06,
244
+ "loss": 0.0159,
245
+ "step": 310
246
+ },
247
+ {
248
+ "epoch": 2.962962962962963,
249
+ "grad_norm": 13.098971366882324,
250
+ "learning_rate": 9.094650205761317e-06,
251
+ "loss": 0.0089,
252
+ "step": 320
253
+ },
254
  {
255
  "epoch": 3.0,
256
+ "eval_accuracy": 0.9805825242718447,
257
+ "eval_loss": 0.06342265754938126,
258
+ "eval_runtime": 14.9197,
259
+ "eval_samples_per_second": 48.325,
260
+ "eval_steps_per_second": 0.402,
261
+ "step": 324
262
+ },
263
+ {
264
+ "epoch": 3.0555555555555554,
265
+ "grad_norm": 0.8634135723114014,
266
+ "learning_rate": 8.683127572016463e-06,
267
+ "loss": 0.0089,
268
+ "step": 330
269
+ },
270
+ {
271
+ "epoch": 3.148148148148148,
272
+ "grad_norm": 8.479053497314453,
273
+ "learning_rate": 8.271604938271606e-06,
274
+ "loss": 0.025,
275
+ "step": 340
276
+ },
277
+ {
278
+ "epoch": 3.240740740740741,
279
+ "grad_norm": 13.359929084777832,
280
+ "learning_rate": 7.860082304526749e-06,
281
+ "loss": 0.0104,
282
+ "step": 350
283
+ },
284
+ {
285
+ "epoch": 3.3333333333333335,
286
+ "grad_norm": 0.05850614607334137,
287
+ "learning_rate": 7.448559670781894e-06,
288
+ "loss": 0.0008,
289
+ "step": 360
290
+ },
291
+ {
292
+ "epoch": 3.425925925925926,
293
+ "grad_norm": 0.00806557945907116,
294
+ "learning_rate": 7.0370370370370375e-06,
295
+ "loss": 0.017,
296
+ "step": 370
297
+ },
298
+ {
299
+ "epoch": 3.5185185185185186,
300
+ "grad_norm": 0.053187962621450424,
301
+ "learning_rate": 6.625514403292182e-06,
302
+ "loss": 0.0068,
303
+ "step": 380
304
+ },
305
+ {
306
+ "epoch": 3.611111111111111,
307
+ "grad_norm": 0.015606718137860298,
308
+ "learning_rate": 6.213991769547325e-06,
309
+ "loss": 0.0003,
310
+ "step": 390
311
+ },
312
+ {
313
+ "epoch": 3.7037037037037037,
314
+ "grad_norm": 0.24528588354587555,
315
+ "learning_rate": 5.80246913580247e-06,
316
+ "loss": 0.0002,
317
+ "step": 400
318
+ },
319
+ {
320
+ "epoch": 3.7962962962962963,
321
+ "grad_norm": 0.019667888060212135,
322
+ "learning_rate": 5.390946502057613e-06,
323
+ "loss": 0.0077,
324
+ "step": 410
325
+ },
326
+ {
327
+ "epoch": 3.888888888888889,
328
+ "grad_norm": 0.02554856240749359,
329
+ "learning_rate": 4.9794238683127575e-06,
330
+ "loss": 0.0028,
331
+ "step": 420
332
+ },
333
+ {
334
+ "epoch": 3.9814814814814814,
335
+ "grad_norm": 0.09109548479318619,
336
+ "learning_rate": 4.567901234567902e-06,
337
+ "loss": 0.0109,
338
+ "step": 430
339
+ },
340
+ {
341
+ "epoch": 4.0,
342
+ "eval_accuracy": 0.986130374479889,
343
+ "eval_loss": 0.04367859661579132,
344
+ "eval_runtime": 15.1752,
345
+ "eval_samples_per_second": 47.512,
346
+ "eval_steps_per_second": 0.395,
347
+ "step": 432
348
+ },
349
+ {
350
+ "epoch": 4.074074074074074,
351
+ "grad_norm": 0.06548808515071869,
352
+ "learning_rate": 4.156378600823046e-06,
353
+ "loss": 0.0071,
354
+ "step": 440
355
+ },
356
+ {
357
+ "epoch": 4.166666666666667,
358
+ "grad_norm": 0.2329343855381012,
359
+ "learning_rate": 3.7448559670781896e-06,
360
+ "loss": 0.0011,
361
+ "step": 450
362
+ },
363
+ {
364
+ "epoch": 4.2592592592592595,
365
+ "grad_norm": 0.01567818969488144,
366
+ "learning_rate": 3.3333333333333333e-06,
367
+ "loss": 0.0002,
368
+ "step": 460
369
+ },
370
+ {
371
+ "epoch": 4.351851851851852,
372
+ "grad_norm": 0.009313078597187996,
373
+ "learning_rate": 2.9218106995884775e-06,
374
+ "loss": 0.0019,
375
+ "step": 470
376
+ },
377
+ {
378
+ "epoch": 4.444444444444445,
379
+ "grad_norm": 0.014552944339811802,
380
+ "learning_rate": 2.5102880658436217e-06,
381
+ "loss": 0.0001,
382
+ "step": 480
383
+ },
384
+ {
385
+ "epoch": 4.537037037037037,
386
+ "grad_norm": 0.20160764455795288,
387
+ "learning_rate": 2.0987654320987654e-06,
388
+ "loss": 0.0083,
389
+ "step": 490
390
+ },
391
+ {
392
+ "epoch": 4.62962962962963,
393
+ "grad_norm": 0.04248794913291931,
394
+ "learning_rate": 1.6872427983539098e-06,
395
+ "loss": 0.0082,
396
+ "step": 500
397
+ },
398
+ {
399
+ "epoch": 4.722222222222222,
400
+ "grad_norm": 0.010289886966347694,
401
+ "learning_rate": 1.2757201646090535e-06,
402
+ "loss": 0.0001,
403
+ "step": 510
404
+ },
405
+ {
406
+ "epoch": 4.814814814814815,
407
+ "grad_norm": 0.008653168566524982,
408
+ "learning_rate": 8.641975308641976e-07,
409
+ "loss": 0.0001,
410
+ "step": 520
411
+ },
412
+ {
413
+ "epoch": 4.907407407407407,
414
+ "grad_norm": 0.01780526712536812,
415
+ "learning_rate": 4.526748971193416e-07,
416
+ "loss": 0.0005,
417
+ "step": 530
418
+ },
419
+ {
420
+ "epoch": 5.0,
421
+ "grad_norm": 0.00029851621366105974,
422
+ "learning_rate": 4.1152263374485605e-08,
423
+ "loss": 0.0001,
424
+ "step": 540
425
+ },
426
+ {
427
+ "epoch": 5.0,
428
+ "eval_accuracy": 0.9902912621359223,
429
+ "eval_loss": 0.03887668624520302,
430
+ "eval_runtime": 15.1773,
431
+ "eval_samples_per_second": 47.505,
432
+ "eval_steps_per_second": 0.395,
433
+ "step": 540
434
  }
435
  ],
436
  "logging_steps": 10,
437
+ "max_steps": 540,
438
  "num_input_tokens_seen": 0,
439
+ "num_train_epochs": 5,
440
  "save_steps": 500,
441
  "stateful_callbacks": {
442
  "TrainerControl": {
 
445
  "should_evaluate": false,
446
  "should_log": false,
447
  "should_save": true,
448
+ "should_training_stop": true
449
  },
450
  "attributes": {}
451
  }
452
  },
453
+ "total_flos": 2.869487081648087e+18,
454
  "train_batch_size": 64,
455
  "trial_name": null,
456
  "trial_params": null