pszemraj commited on
Commit
2173531
·
1 Parent(s): 9a08632

update ckpt with 4ish epochs of training on a100

Browse files
config.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "_name_or_path": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP4",
3
  "architectures": [
4
  "LongT5ForConditionalGeneration"
5
  ],
 
1
  {
2
+ "_name_or_path": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP6",
3
  "architectures": [
4
  "LongT5ForConditionalGeneration"
5
  ],
latest CHANGED
@@ -1 +1 @@
1
- global_step164
 
1
+ global_step150
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:57a6f0f99f02e2264845cf4e409391ddc7f0a2086349e51663b4164a11601533
3
  size 3132548907
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92ab44b991c09f6bc82409f7899997e00371195237de8016934fcb74aa027de4
3
  size 3132548907
rng_state_0.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:52e7e4c931397542f5e9afa0192762e594ee7aa94258b211403f66238182656b
3
  size 14503
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:661796353532b01dfcf9f907b7fc04fac2c5b189850da5882dad7779f8759631
3
  size 14503
tokenizer_config.json CHANGED
@@ -103,7 +103,7 @@
103
  ],
104
  "eos_token": "</s>",
105
  "extra_ids": 100,
106
- "name_or_path": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP4",
107
  "pad_token": "<pad>",
108
  "special_tokens_map_file": null,
109
  "tokenizer_class": "T5Tokenizer",
 
103
  ],
104
  "eos_token": "</s>",
105
  "extra_ids": 100,
106
+ "name_or_path": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP6",
107
  "pad_token": "<pad>",
108
  "special_tokens_map_file": null,
109
  "tokenizer_class": "T5Tokenizer",
trainer_state.json CHANGED
@@ -1,349 +1,466 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 1.991123701605288,
5
- "global_step": 164,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
  {
11
- "epoch": 0.04,
12
- "learning_rate": 9.999059852242507e-05,
13
- "loss": 3.0887,
14
- "step": 3
 
 
 
 
 
 
15
  },
16
  {
17
  "epoch": 0.07,
18
- "learning_rate": 9.98496470583896e-05,
19
- "loss": 3.0765,
20
  "step": 6
21
  },
22
  {
23
- "epoch": 0.11,
24
- "learning_rate": 9.954002016824227e-05,
25
- "loss": 3.0999,
26
- "step": 9
 
 
 
 
 
 
27
  },
28
  {
29
  "epoch": 0.15,
30
- "learning_rate": 9.906276553136923e-05,
31
- "loss": 3.1509,
32
  "step": 12
33
  },
34
  {
35
- "epoch": 0.18,
36
- "learning_rate": 9.84194980263903e-05,
37
- "loss": 3.0782,
38
- "step": 15
 
 
 
 
 
 
39
  },
40
  {
41
  "epoch": 0.22,
42
- "learning_rate": 9.761239426692077e-05,
43
- "loss": 3.1602,
44
  "step": 18
45
  },
46
  {
47
- "epoch": 0.25,
48
- "learning_rate": 9.664418523660004e-05,
49
- "loss": 3.1038,
50
- "step": 21
 
 
 
 
 
 
51
  },
52
  {
53
  "epoch": 0.29,
54
- "learning_rate": 9.551814704830734e-05,
55
- "loss": 3.1121,
56
  "step": 24
57
  },
58
  {
59
- "epoch": 0.33,
60
- "learning_rate": 9.423808985883289e-05,
61
- "loss": 3.1254,
62
- "step": 27
 
 
 
 
 
 
63
  },
64
  {
65
  "epoch": 0.36,
66
- "learning_rate": 9.280834497651334e-05,
67
- "loss": 3.0885,
68
  "step": 30
69
  },
70
  {
71
- "epoch": 0.4,
72
- "learning_rate": 9.123375020545535e-05,
73
- "loss": 3.1051,
74
- "step": 33
 
 
 
 
 
 
75
  },
76
  {
77
  "epoch": 0.44,
78
- "learning_rate": 8.951963347593797e-05,
79
- "loss": 3.0836,
80
  "step": 36
81
  },
82
  {
83
- "epoch": 0.47,
84
- "learning_rate": 8.767179481638303e-05,
85
- "loss": 3.1576,
86
- "step": 39
 
 
 
 
 
 
87
  },
88
  {
89
  "epoch": 0.51,
90
- "learning_rate": 8.569648672789497e-05,
91
- "loss": 3.0979,
92
  "step": 42
93
  },
94
  {
95
- "epoch": 0.54,
96
- "learning_rate": 8.360039302777612e-05,
97
- "loss": 3.0679,
98
- "step": 45
 
 
 
 
 
 
99
  },
100
  {
101
  "epoch": 0.58,
102
- "learning_rate": 8.139060623360493e-05,
103
- "loss": 3.1112,
104
  "step": 48
105
  },
106
  {
107
- "epoch": 0.62,
108
- "learning_rate": 7.907460356440133e-05,
109
- "loss": 3.1174,
110
- "step": 51
 
 
 
 
 
 
111
  },
112
  {
113
  "epoch": 0.65,
114
- "learning_rate": 7.666022164008457e-05,
115
- "loss": 3.102,
116
  "step": 54
117
  },
118
  {
119
- "epoch": 0.69,
120
- "learning_rate": 7.415562996483192e-05,
121
- "loss": 3.1074,
122
- "step": 57
 
 
 
 
 
 
123
  },
124
  {
125
  "epoch": 0.73,
126
- "learning_rate": 7.156930328406268e-05,
127
- "loss": 3.1113,
128
  "step": 60
129
  },
130
  {
131
- "epoch": 0.76,
132
- "learning_rate": 6.890999290858214e-05,
133
- "loss": 3.0953,
134
- "step": 63
 
 
 
 
 
 
135
  },
136
  {
137
  "epoch": 0.8,
138
- "learning_rate": 6.618669710291606e-05,
139
- "loss": 3.1204,
140
  "step": 66
141
  },
142
  {
143
- "epoch": 0.83,
144
- "learning_rate": 6.340863063803188e-05,
145
- "loss": 3.1302,
146
- "step": 69
 
 
 
 
 
 
147
  },
148
  {
149
  "epoch": 0.87,
150
- "learning_rate": 6.058519361147055e-05,
151
- "loss": 3.0968,
152
  "step": 72
153
  },
154
  {
155
- "epoch": 0.91,
156
- "learning_rate": 5.772593964039203e-05,
157
- "loss": 3.0979,
158
- "step": 75
 
 
 
 
 
 
159
  },
160
  {
161
  "epoch": 0.94,
162
- "learning_rate": 5.484054353515896e-05,
163
- "loss": 3.0957,
164
  "step": 78
165
  },
166
  {
167
- "epoch": 0.98,
168
- "learning_rate": 5.193876856284085e-05,
169
- "loss": 3.1284,
170
- "step": 81
 
 
 
 
 
 
171
  },
172
  {
173
  "epoch": 1.02,
174
- "learning_rate": 4.903043341140879e-05,
175
- "loss": 3.8455,
176
  "step": 84
177
  },
178
  {
179
- "epoch": 1.06,
180
- "learning_rate": 4.612537896640346e-05,
181
- "loss": 3.0487,
182
- "step": 87
 
 
 
 
 
 
183
  },
184
  {
185
  "epoch": 1.1,
186
- "learning_rate": 4.323343501249346e-05,
187
- "loss": 3.0762,
188
  "step": 90
189
  },
190
  {
191
- "epoch": 1.13,
192
- "learning_rate": 4.036438697259551e-05,
193
- "loss": 3.1029,
194
- "step": 93
 
 
 
 
 
 
195
  },
196
  {
197
  "epoch": 1.17,
198
- "learning_rate": 3.752794279710094e-05,
199
- "loss": 3.0846,
200
  "step": 96
201
  },
202
  {
203
- "epoch": 1.21,
204
- "learning_rate": 3.473370011524435e-05,
205
- "loss": 3.0986,
206
- "step": 99
 
 
 
 
 
 
207
  },
208
  {
209
  "epoch": 1.24,
210
- "learning_rate": 3.199111375976449e-05,
211
- "loss": 3.1148,
212
  "step": 102
213
  },
214
  {
215
- "epoch": 1.28,
216
- "learning_rate": 2.9309463774743046e-05,
217
- "loss": 3.076,
218
- "step": 105
 
 
 
 
 
 
219
  },
220
  {
221
  "epoch": 1.31,
222
- "learning_rate": 2.6697824014873075e-05,
223
- "loss": 3.0731,
224
  "step": 108
225
  },
226
  {
227
- "epoch": 1.35,
228
- "learning_rate": 2.4165031442406855e-05,
229
- "loss": 3.1045,
230
- "step": 111
 
 
 
 
 
 
231
  },
232
  {
233
  "epoch": 1.39,
234
- "learning_rate": 2.171965622567308e-05,
235
- "loss": 3.1026,
236
  "step": 114
237
  },
238
  {
239
- "epoch": 1.42,
240
- "learning_rate": 1.936997274033986e-05,
241
- "loss": 3.0352,
242
- "step": 117
 
 
 
 
 
 
243
  },
244
  {
245
  "epoch": 1.46,
246
- "learning_rate": 1.7123931571546827e-05,
247
- "loss": 3.0999,
248
  "step": 120
249
  },
250
  {
251
- "epoch": 1.5,
252
- "learning_rate": 1.4989132611641576e-05,
253
- "loss": 3.0609,
254
- "step": 123
255
  },
256
  {
257
- "epoch": 1.53,
258
- "learning_rate": 1.297279934454978e-05,
259
- "loss": 3.0611,
260
- "step": 126
261
  },
262
  {
263
- "epoch": 1.57,
264
- "learning_rate": 1.1081754403791999e-05,
265
- "loss": 3.1195,
266
- "step": 129
267
  },
268
  {
269
- "epoch": 1.6,
270
- "learning_rate": 9.322396486851626e-06,
271
- "loss": 3.0566,
272
- "step": 132
273
  },
274
  {
275
- "epoch": 1.64,
276
- "learning_rate": 7.700678704007947e-06,
277
- "loss": 3.1333,
278
- "step": 135
279
  },
280
  {
281
- "epoch": 1.68,
282
- "learning_rate": 6.222088434895462e-06,
283
- "loss": 3.0838,
284
- "step": 138
285
  },
286
  {
287
- "epoch": 1.71,
288
- "learning_rate": 4.891628760948114e-06,
289
- "loss": 3.1032,
290
- "step": 141
291
  },
292
  {
293
- "epoch": 1.75,
294
- "learning_rate": 3.7138015365554833e-06,
295
- "loss": 3.0524,
296
- "step": 144
297
  },
298
  {
299
- "epoch": 1.79,
300
- "learning_rate": 2.692592156212487e-06,
301
- "loss": 3.0527,
302
- "step": 147
303
  },
304
  {
305
- "epoch": 1.82,
306
- "learning_rate": 1.8314560692059835e-06,
307
- "loss": 3.0637,
308
- "step": 150
309
  },
310
  {
311
- "epoch": 1.86,
312
- "learning_rate": 1.1333070874682216e-06,
313
- "loss": 3.0875,
314
- "step": 153
315
  },
316
  {
317
- "epoch": 1.89,
318
- "learning_rate": 6.005075261595494e-07,
319
- "loss": 3.0881,
320
- "step": 156
321
  },
322
  {
323
- "epoch": 1.93,
324
- "learning_rate": 2.3486021034170857e-07,
325
- "loss": 3.0721,
326
- "step": 159
327
  },
328
  {
329
- "epoch": 1.97,
330
- "learning_rate": 3.760237478849793e-08,
331
- "loss": 3.0953,
332
- "step": 162
333
  },
334
  {
335
- "epoch": 1.99,
336
- "step": 164,
337
- "total_flos": 1.5551382941597696e+18,
338
- "train_loss": 3.1085294397865852,
339
- "train_runtime": 68661.2713,
340
- "train_samples_per_second": 0.308,
341
- "train_steps_per_second": 0.002
342
  }
343
  ],
344
- "max_steps": 164,
345
- "num_train_epochs": 2,
346
- "total_flos": 1.5551382941597696e+18,
347
  "trial_name": null,
348
  "trial_params": null
349
  }
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 1.8219074598677998,
5
+ "global_step": 150,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
  {
11
+ "epoch": 0.02,
12
+ "learning_rate": 0.0004,
13
+ "loss": 2.8174,
14
+ "step": 2
15
+ },
16
+ {
17
+ "epoch": 0.05,
18
+ "learning_rate": 0.0008,
19
+ "loss": 2.8801,
20
+ "step": 4
21
  },
22
  {
23
  "epoch": 0.07,
24
+ "learning_rate": 0.0009999575185316995,
25
+ "loss": 2.8676,
26
  "step": 6
27
  },
28
  {
29
+ "epoch": 0.1,
30
+ "learning_rate": 0.0009996177100962712,
31
+ "loss": 2.8733,
32
+ "step": 8
33
+ },
34
+ {
35
+ "epoch": 0.12,
36
+ "learning_rate": 0.000998938324184584,
37
+ "loss": 2.9105,
38
+ "step": 10
39
  },
40
  {
41
  "epoch": 0.15,
42
+ "learning_rate": 0.0009979198225579969,
43
+ "loss": 2.9035,
44
  "step": 12
45
  },
46
  {
47
+ "epoch": 0.17,
48
+ "learning_rate": 0.0009965628974662145,
49
+ "loss": 2.8884,
50
+ "step": 14
51
+ },
52
+ {
53
+ "epoch": 0.19,
54
+ "learning_rate": 0.00099486847117678,
55
+ "loss": 2.879,
56
+ "step": 16
57
  },
58
  {
59
  "epoch": 0.22,
60
+ "learning_rate": 0.0009928376953482344,
61
+ "loss": 2.9521,
62
  "step": 18
63
  },
64
  {
65
+ "epoch": 0.24,
66
+ "learning_rate": 0.0009904719502473634,
67
+ "loss": 2.9526,
68
+ "step": 20
69
+ },
70
+ {
71
+ "epoch": 0.27,
72
+ "learning_rate": 0.0009877728438110645,
73
+ "loss": 2.9211,
74
+ "step": 22
75
  },
76
  {
77
  "epoch": 0.29,
78
+ "learning_rate": 0.0009847422105534738,
79
+ "loss": 2.8804,
80
  "step": 24
81
  },
82
  {
83
+ "epoch": 0.31,
84
+ "learning_rate": 0.000981382110319093,
85
+ "loss": 2.9045,
86
+ "step": 26
87
+ },
88
+ {
89
+ "epoch": 0.34,
90
+ "learning_rate": 0.0009776948268827657,
91
+ "loss": 2.9369,
92
+ "step": 28
93
  },
94
  {
95
  "epoch": 0.36,
96
+ "learning_rate": 0.0009736828663974526,
97
+ "loss": 2.9049,
98
  "step": 30
99
  },
100
  {
101
+ "epoch": 0.39,
102
+ "learning_rate": 0.0009693489556908641,
103
+ "loss": 2.9069,
104
+ "step": 32
105
+ },
106
+ {
107
+ "epoch": 0.41,
108
+ "learning_rate": 0.0009646960404121041,
109
+ "loss": 2.9257,
110
+ "step": 34
111
  },
112
  {
113
  "epoch": 0.44,
114
+ "learning_rate": 0.0009597272830295876,
115
+ "loss": 2.8909,
116
  "step": 36
117
  },
118
  {
119
+ "epoch": 0.46,
120
+ "learning_rate": 0.00095444606068159,
121
+ "loss": 2.9512,
122
+ "step": 38
123
+ },
124
+ {
125
+ "epoch": 0.48,
126
+ "learning_rate": 0.0009488559628808938,
127
+ "loss": 3.0004,
128
+ "step": 40
129
  },
130
  {
131
  "epoch": 0.51,
132
+ "learning_rate": 0.0009429607890750862,
133
+ "loss": 3.1118,
134
  "step": 42
135
  },
136
  {
137
+ "epoch": 0.53,
138
+ "learning_rate": 0.0009367645460641715,
139
+ "loss": 3.082,
140
+ "step": 44
141
+ },
142
+ {
143
+ "epoch": 0.56,
144
+ "learning_rate": 0.0009302714452772515,
145
+ "loss": 3.0348,
146
+ "step": 46
147
  },
148
  {
149
  "epoch": 0.58,
150
+ "learning_rate": 0.0009234858999101231,
151
+ "loss": 3.0918,
152
  "step": 48
153
  },
154
  {
155
+ "epoch": 0.6,
156
+ "learning_rate": 0.0009164125219257418,
157
+ "loss": 3.0042,
158
+ "step": 50
159
+ },
160
+ {
161
+ "epoch": 0.63,
162
+ "learning_rate": 0.000909056118919587,
163
+ "loss": 2.971,
164
+ "step": 52
165
  },
166
  {
167
  "epoch": 0.65,
168
+ "learning_rate": 0.0009014216908520619,
169
+ "loss": 2.9717,
170
  "step": 54
171
  },
172
  {
173
+ "epoch": 0.68,
174
+ "learning_rate": 0.0008935144266501469,
175
+ "loss": 3.0012,
176
+ "step": 56
177
+ },
178
+ {
179
+ "epoch": 0.7,
180
+ "learning_rate": 0.0008853397006806182,
181
+ "loss": 2.9478,
182
+ "step": 58
183
  },
184
  {
185
  "epoch": 0.73,
186
+ "learning_rate": 0.0008769030690972262,
187
+ "loss": 2.9312,
188
  "step": 60
189
  },
190
  {
191
+ "epoch": 0.75,
192
+ "learning_rate": 0.0008682102660643197,
193
+ "loss": 2.898,
194
+ "step": 62
195
+ },
196
+ {
197
+ "epoch": 0.77,
198
+ "learning_rate": 0.0008592671998594795,
199
+ "loss": 2.8673,
200
+ "step": 64
201
  },
202
  {
203
  "epoch": 0.8,
204
+ "learning_rate": 0.0008500799488578119,
205
+ "loss": 2.8984,
206
  "step": 66
207
  },
208
  {
209
+ "epoch": 0.82,
210
+ "learning_rate": 0.0008406547574006325,
211
+ "loss": 2.8778,
212
+ "step": 68
213
+ },
214
+ {
215
+ "epoch": 0.85,
216
+ "learning_rate": 0.0008309980315513443,
217
+ "loss": 2.8978,
218
+ "step": 70
219
  },
220
  {
221
  "epoch": 0.87,
222
+ "learning_rate": 0.0008211163347414004,
223
+ "loss": 2.8657,
224
  "step": 72
225
  },
226
  {
227
+ "epoch": 0.89,
228
+ "learning_rate": 0.0008110163833093049,
229
+ "loss": 2.881,
230
+ "step": 74
231
+ },
232
+ {
233
+ "epoch": 0.92,
234
+ "learning_rate": 0.0008007050419356898,
235
+ "loss": 2.8425,
236
+ "step": 76
237
  },
238
  {
239
  "epoch": 0.94,
240
+ "learning_rate": 0.0007901893189775639,
241
+ "loss": 2.899,
242
  "step": 78
243
  },
244
  {
245
+ "epoch": 0.97,
246
+ "learning_rate": 0.0007794763617049123,
247
+ "loss": 2.8116,
248
+ "step": 80
249
+ },
250
+ {
251
+ "epoch": 0.99,
252
+ "learning_rate": 0.0007685734514428766,
253
+ "loss": 2.8995,
254
+ "step": 82
255
  },
256
  {
257
  "epoch": 1.02,
258
+ "learning_rate": 0.0007574879986228245,
259
+ "loss": 3.874,
260
  "step": 84
261
  },
262
  {
263
+ "epoch": 1.05,
264
+ "learning_rate": 0.000746227537745667,
265
+ "loss": 2.7812,
266
+ "step": 86
267
+ },
268
+ {
269
+ "epoch": 1.07,
270
+ "learning_rate": 0.0007347997222608493,
271
+ "loss": 2.7706,
272
+ "step": 88
273
  },
274
  {
275
  "epoch": 1.1,
276
+ "learning_rate": 0.0007232123193644956,
277
+ "loss": 2.727,
278
  "step": 90
279
  },
280
  {
281
+ "epoch": 1.12,
282
+ "learning_rate": 0.0007114732047202433,
283
+ "loss": 2.7466,
284
+ "step": 92
285
+ },
286
+ {
287
+ "epoch": 1.15,
288
+ "learning_rate": 0.000699590357106354,
289
+ "loss": 2.7615,
290
+ "step": 94
291
  },
292
  {
293
  "epoch": 1.17,
294
+ "learning_rate": 0.0006875718529927403,
295
+ "loss": 2.7312,
296
  "step": 96
297
  },
298
  {
299
+ "epoch": 1.19,
300
+ "learning_rate": 0.0006754258610515948,
301
+ "loss": 2.7192,
302
+ "step": 98
303
+ },
304
+ {
305
+ "epoch": 1.22,
306
+ "learning_rate": 0.0006631606366053507,
307
+ "loss": 2.7178,
308
+ "step": 100
309
  },
310
  {
311
  "epoch": 1.24,
312
+ "learning_rate": 0.0006507845160157477,
313
+ "loss": 2.7426,
314
  "step": 102
315
  },
316
  {
317
+ "epoch": 1.27,
318
+ "learning_rate": 0.0006383059110178205,
319
+ "loss": 2.78,
320
+ "step": 104
321
+ },
322
+ {
323
+ "epoch": 1.29,
324
+ "learning_rate": 0.0006257333030026537,
325
+ "loss": 2.801,
326
+ "step": 106
327
  },
328
  {
329
  "epoch": 1.31,
330
+ "learning_rate": 0.0006130752372527982,
331
+ "loss": 2.8101,
332
  "step": 108
333
  },
334
  {
335
+ "epoch": 1.34,
336
+ "learning_rate": 0.0006003403171342563,
337
+ "loss": 2.8212,
338
+ "step": 110
339
+ },
340
+ {
341
+ "epoch": 1.36,
342
+ "learning_rate": 0.0005875371982489958,
343
+ "loss": 2.8073,
344
+ "step": 112
345
  },
346
  {
347
  "epoch": 1.39,
348
+ "learning_rate": 0.0005746745825519538,
349
+ "loss": 2.7252,
350
  "step": 114
351
  },
352
  {
353
+ "epoch": 1.41,
354
+ "learning_rate": 0.0005617612124365409,
355
+ "loss": 2.783,
356
+ "step": 116
357
+ },
358
+ {
359
+ "epoch": 1.44,
360
+ "learning_rate": 0.0005488058647926577,
361
+ "loss": 2.7034,
362
+ "step": 118
363
  },
364
  {
365
  "epoch": 1.46,
366
+ "learning_rate": 0.0005358173450412649,
367
+ "loss": 2.7864,
368
  "step": 120
369
  },
370
  {
371
+ "epoch": 1.48,
372
+ "learning_rate": 0.0005228044811495631,
373
+ "loss": 2.7136,
374
+ "step": 122
375
  },
376
  {
377
+ "epoch": 1.51,
378
+ "learning_rate": 0.0005097761176308471,
379
+ "loss": 2.762,
380
+ "step": 124
381
  },
382
  {
383
+ "epoch": 1.53,
384
+ "learning_rate": 0.0004967411095331149,
385
+ "loss": 2.7633,
386
+ "step": 126
387
  },
388
  {
389
+ "epoch": 1.56,
390
+ "learning_rate": 0.0004837083164205159,
391
+ "loss": 2.7863,
392
+ "step": 128
393
  },
394
  {
395
+ "epoch": 1.58,
396
+ "learning_rate": 0.00047068659635173026,
397
+ "loss": 2.7523,
398
+ "step": 130
399
  },
400
  {
401
+ "epoch": 1.6,
402
+ "learning_rate": 0.00045768479985937196,
403
+ "loss": 2.6834,
404
+ "step": 132
405
  },
406
  {
407
+ "epoch": 1.63,
408
+ "learning_rate": 0.0004447117639345052,
409
+ "loss": 2.7107,
410
+ "step": 134
411
  },
412
  {
413
+ "epoch": 1.65,
414
+ "learning_rate": 0.0004317763060203664,
415
+ "loss": 2.7554,
416
+ "step": 136
417
  },
418
  {
419
+ "epoch": 1.68,
420
+ "learning_rate": 0.0004188872180193723,
421
+ "loss": 2.7709,
422
+ "step": 138
423
  },
424
  {
425
+ "epoch": 1.7,
426
+ "learning_rate": 0.00040605326031748645,
427
+ "loss": 2.7199,
428
+ "step": 140
429
  },
430
  {
431
+ "epoch": 1.73,
432
+ "learning_rate": 0.0003932831558300074,
433
+ "loss": 2.702,
434
+ "step": 142
435
  },
436
  {
437
+ "epoch": 1.75,
438
+ "learning_rate": 0.0003805855840728246,
439
+ "loss": 2.7447,
440
+ "step": 144
441
  },
442
  {
443
+ "epoch": 1.77,
444
+ "learning_rate": 0.00036796917526317154,
445
+ "loss": 2.7329,
446
+ "step": 146
447
  },
448
  {
449
+ "epoch": 1.8,
450
+ "learning_rate": 0.0003554425044538868,
451
+ "loss": 2.7188,
452
+ "step": 148
453
  },
454
  {
455
+ "epoch": 1.82,
456
+ "learning_rate": 0.00034301408570516746,
457
+ "loss": 2.7646,
458
+ "step": 150
 
 
 
459
  }
460
  ],
461
+ "max_steps": 246,
462
+ "num_train_epochs": 3,
463
+ "total_flos": 1.4229744023408476e+18,
464
  "trial_name": null,
465
  "trial_params": null
466
  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fc21bf03b7dee18113f5e242548f50beac3112d633843f73cbb60625e5d61dc4
3
  size 4527
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:69a6570fe353bddee22ecfde7f0ce22259d3ebe6bcb4e301b37e008be4d9697d
3
  size 4527