jayantdocplix commited on
Commit
b4c9ca9
1 Parent(s): 3e5f6b0

Upload 11 files

Browse files
Files changed (6) hide show
  1. adapter_model.bin +1 -1
  2. optimizer.pt +1 -1
  3. rng_state.pth +1 -1
  4. tokenizer.json +6 -1
  5. trainer_state.json +102 -102
  6. training_args.bin +1 -1
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2054b8a70f39f1311d58300ac2f9ff983723d88464d3e6c65098f7c9353cf782
3
  size 522284877
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4d34ff14e4635049fc69270e532cc18dd05f28bd358833f0fcd8a5245a8ea695
3
  size 522284877
optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7c48312661d3c907412387b4da9b5dcb860f1b8d364f67ff8686ec114f338b08
3
  size 1044539909
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5c8d7a519c6145532b7b330e12787e047b51ab6b02fe38e6ba666b0d8e3c87ab
3
  size 1044539909
rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:58e2e1749611406923859c3ac550e806510c13fbc51536779fc8dd16b1beca83
3
  size 14575
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:32a88e3b78c5281b945c1930b107415bc3c89413ca4dd9b4b5721d237c955737
3
  size 14575
tokenizer.json CHANGED
@@ -1,6 +1,11 @@
1
  {
2
  "version": "1.0",
3
- "truncation": null,
 
 
 
 
 
4
  "padding": null,
5
  "added_tokens": [
6
  {
 
1
  {
2
  "version": "1.0",
3
+ "truncation": {
4
+ "direction": "Right",
5
+ "max_length": 512,
6
+ "strategy": "LongestFirst",
7
+ "stride": 0
8
+ },
9
  "padding": null,
10
  "added_tokens": [
11
  {
trainer_state.json CHANGED
@@ -1,316 +1,316 @@
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
- "epoch": 0.8123476848090982,
5
  "global_step": 500,
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": 0.0002,
13
- "loss": 1.3234,
14
  "step": 10
15
  },
16
  {
17
- "epoch": 0.03,
18
  "learning_rate": 0.0002,
19
- "loss": 1.3389,
20
  "step": 20
21
  },
22
  {
23
- "epoch": 0.05,
24
  "learning_rate": 0.0002,
25
- "loss": 1.3999,
26
  "step": 30
27
  },
28
  {
29
- "epoch": 0.06,
30
  "learning_rate": 0.0002,
31
- "loss": 1.6548,
32
  "step": 40
33
  },
34
  {
35
- "epoch": 0.08,
36
  "learning_rate": 0.0002,
37
- "loss": 1.8545,
38
  "step": 50
39
  },
40
  {
41
- "epoch": 0.1,
42
  "learning_rate": 0.0002,
43
- "loss": 1.2073,
44
  "step": 60
45
  },
46
  {
47
- "epoch": 0.11,
48
  "learning_rate": 0.0002,
49
- "loss": 1.2975,
50
  "step": 70
51
  },
52
  {
53
- "epoch": 0.13,
54
  "learning_rate": 0.0002,
55
- "loss": 1.3666,
56
  "step": 80
57
  },
58
  {
59
- "epoch": 0.15,
60
  "learning_rate": 0.0002,
61
- "loss": 1.5847,
62
  "step": 90
63
  },
64
  {
65
- "epoch": 0.16,
66
  "learning_rate": 0.0002,
67
- "loss": 1.787,
68
  "step": 100
69
  },
70
  {
71
- "epoch": 0.18,
72
  "learning_rate": 0.0002,
73
- "loss": 1.1914,
74
  "step": 110
75
  },
76
  {
77
- "epoch": 0.19,
78
  "learning_rate": 0.0002,
79
- "loss": 1.2603,
80
  "step": 120
81
  },
82
  {
83
- "epoch": 0.21,
84
  "learning_rate": 0.0002,
85
- "loss": 1.3678,
86
  "step": 130
87
  },
88
  {
89
- "epoch": 0.23,
90
  "learning_rate": 0.0002,
91
- "loss": 1.4669,
92
  "step": 140
93
  },
94
  {
95
- "epoch": 0.24,
96
  "learning_rate": 0.0002,
97
- "loss": 1.8138,
98
  "step": 150
99
  },
100
  {
101
- "epoch": 0.26,
102
  "learning_rate": 0.0002,
103
- "loss": 1.209,
104
  "step": 160
105
  },
106
  {
107
- "epoch": 0.28,
108
  "learning_rate": 0.0002,
109
- "loss": 1.219,
110
  "step": 170
111
  },
112
  {
113
- "epoch": 0.29,
114
  "learning_rate": 0.0002,
115
- "loss": 1.2781,
116
  "step": 180
117
  },
118
  {
119
- "epoch": 0.31,
120
  "learning_rate": 0.0002,
121
- "loss": 1.5252,
122
  "step": 190
123
  },
124
  {
125
- "epoch": 0.32,
126
  "learning_rate": 0.0002,
127
- "loss": 1.8084,
128
  "step": 200
129
  },
130
  {
131
- "epoch": 0.34,
132
  "learning_rate": 0.0002,
133
- "loss": 1.1805,
134
  "step": 210
135
  },
136
  {
137
- "epoch": 0.36,
138
  "learning_rate": 0.0002,
139
- "loss": 1.2208,
140
  "step": 220
141
  },
142
  {
143
- "epoch": 0.37,
144
  "learning_rate": 0.0002,
145
- "loss": 1.3424,
146
  "step": 230
147
  },
148
  {
149
- "epoch": 0.39,
150
  "learning_rate": 0.0002,
151
- "loss": 1.5527,
152
  "step": 240
153
  },
154
  {
155
- "epoch": 0.41,
156
  "learning_rate": 0.0002,
157
- "loss": 1.7663,
158
  "step": 250
159
  },
160
  {
161
- "epoch": 0.42,
162
  "learning_rate": 0.0002,
163
- "loss": 1.2059,
164
  "step": 260
165
  },
166
  {
167
- "epoch": 0.44,
168
  "learning_rate": 0.0002,
169
- "loss": 1.2285,
170
  "step": 270
171
  },
172
  {
173
- "epoch": 0.45,
174
  "learning_rate": 0.0002,
175
- "loss": 1.3103,
176
  "step": 280
177
  },
178
  {
179
- "epoch": 0.47,
180
  "learning_rate": 0.0002,
181
- "loss": 1.5495,
182
  "step": 290
183
  },
184
  {
185
- "epoch": 0.49,
186
  "learning_rate": 0.0002,
187
- "loss": 1.7774,
188
  "step": 300
189
  },
190
  {
191
- "epoch": 0.5,
192
  "learning_rate": 0.0002,
193
- "loss": 1.205,
194
  "step": 310
195
  },
196
  {
197
- "epoch": 0.52,
198
  "learning_rate": 0.0002,
199
- "loss": 1.1946,
200
  "step": 320
201
  },
202
  {
203
- "epoch": 0.54,
204
  "learning_rate": 0.0002,
205
- "loss": 1.2776,
206
  "step": 330
207
  },
208
  {
209
- "epoch": 0.55,
210
  "learning_rate": 0.0002,
211
- "loss": 1.5044,
212
  "step": 340
213
  },
214
  {
215
- "epoch": 0.57,
216
  "learning_rate": 0.0002,
217
- "loss": 1.674,
218
  "step": 350
219
  },
220
  {
221
- "epoch": 0.58,
222
  "learning_rate": 0.0002,
223
- "loss": 1.1901,
224
  "step": 360
225
  },
226
  {
227
- "epoch": 0.6,
228
  "learning_rate": 0.0002,
229
- "loss": 1.2326,
230
  "step": 370
231
  },
232
  {
233
- "epoch": 0.62,
234
  "learning_rate": 0.0002,
235
- "loss": 1.3597,
236
  "step": 380
237
  },
238
  {
239
- "epoch": 0.63,
240
  "learning_rate": 0.0002,
241
- "loss": 1.5719,
242
  "step": 390
243
  },
244
  {
245
- "epoch": 0.65,
246
  "learning_rate": 0.0002,
247
- "loss": 1.727,
248
  "step": 400
249
  },
250
  {
251
- "epoch": 0.67,
252
  "learning_rate": 0.0002,
253
- "loss": 1.1642,
254
  "step": 410
255
  },
256
  {
257
- "epoch": 0.68,
258
  "learning_rate": 0.0002,
259
- "loss": 1.2354,
260
  "step": 420
261
  },
262
  {
263
- "epoch": 0.7,
264
  "learning_rate": 0.0002,
265
- "loss": 1.3189,
266
  "step": 430
267
  },
268
  {
269
- "epoch": 0.71,
270
  "learning_rate": 0.0002,
271
- "loss": 1.5433,
272
  "step": 440
273
  },
274
  {
275
- "epoch": 0.73,
276
  "learning_rate": 0.0002,
277
- "loss": 1.8169,
278
  "step": 450
279
  },
280
  {
281
- "epoch": 0.75,
282
  "learning_rate": 0.0002,
283
- "loss": 1.1461,
284
  "step": 460
285
  },
286
  {
287
- "epoch": 0.76,
288
  "learning_rate": 0.0002,
289
- "loss": 1.2557,
290
  "step": 470
291
  },
292
  {
293
- "epoch": 0.78,
294
  "learning_rate": 0.0002,
295
- "loss": 1.3328,
296
  "step": 480
297
  },
298
  {
299
- "epoch": 0.8,
300
  "learning_rate": 0.0002,
301
- "loss": 1.6532,
302
  "step": 490
303
  },
304
  {
305
- "epoch": 0.81,
306
  "learning_rate": 0.0002,
307
- "loss": 1.7721,
308
  "step": 500
309
  }
310
  ],
311
  "max_steps": 500,
312
  "num_train_epochs": 1,
313
- "total_flos": 5.531824689009562e+16,
314
  "trial_name": null,
315
  "trial_params": null
316
  }
 
1
  {
2
  "best_metric": null,
3
  "best_model_checkpoint": null,
4
+ "epoch": 0.08574858514834505,
5
  "global_step": 500,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
8
  "is_world_process_zero": true,
9
  "log_history": [
10
  {
11
+ "epoch": 0.0,
12
  "learning_rate": 0.0002,
13
+ "loss": 2.6881,
14
  "step": 10
15
  },
16
  {
17
+ "epoch": 0.0,
18
  "learning_rate": 0.0002,
19
+ "loss": 2.5965,
20
  "step": 20
21
  },
22
  {
23
+ "epoch": 0.01,
24
  "learning_rate": 0.0002,
25
+ "loss": 2.5403,
26
  "step": 30
27
  },
28
  {
29
+ "epoch": 0.01,
30
  "learning_rate": 0.0002,
31
+ "loss": 2.488,
32
  "step": 40
33
  },
34
  {
35
+ "epoch": 0.01,
36
  "learning_rate": 0.0002,
37
+ "loss": 2.4193,
38
  "step": 50
39
  },
40
  {
41
+ "epoch": 0.01,
42
  "learning_rate": 0.0002,
43
+ "loss": 2.5918,
44
  "step": 60
45
  },
46
  {
47
+ "epoch": 0.01,
48
  "learning_rate": 0.0002,
49
+ "loss": 2.4684,
50
  "step": 70
51
  },
52
  {
53
+ "epoch": 0.01,
54
  "learning_rate": 0.0002,
55
+ "loss": 2.5298,
56
  "step": 80
57
  },
58
  {
59
+ "epoch": 0.02,
60
  "learning_rate": 0.0002,
61
+ "loss": 2.4885,
62
  "step": 90
63
  },
64
  {
65
+ "epoch": 0.02,
66
  "learning_rate": 0.0002,
67
+ "loss": 2.3809,
68
  "step": 100
69
  },
70
  {
71
+ "epoch": 0.02,
72
  "learning_rate": 0.0002,
73
+ "loss": 2.534,
74
  "step": 110
75
  },
76
  {
77
+ "epoch": 0.02,
78
  "learning_rate": 0.0002,
79
+ "loss": 2.4542,
80
  "step": 120
81
  },
82
  {
83
+ "epoch": 0.02,
84
  "learning_rate": 0.0002,
85
+ "loss": 2.4874,
86
  "step": 130
87
  },
88
  {
89
+ "epoch": 0.02,
90
  "learning_rate": 0.0002,
91
+ "loss": 2.4379,
92
  "step": 140
93
  },
94
  {
95
+ "epoch": 0.03,
96
  "learning_rate": 0.0002,
97
+ "loss": 2.2407,
98
  "step": 150
99
  },
100
  {
101
+ "epoch": 0.03,
102
  "learning_rate": 0.0002,
103
+ "loss": 2.5581,
104
  "step": 160
105
  },
106
  {
107
+ "epoch": 0.03,
108
  "learning_rate": 0.0002,
109
+ "loss": 2.4943,
110
  "step": 170
111
  },
112
  {
113
+ "epoch": 0.03,
114
  "learning_rate": 0.0002,
115
+ "loss": 2.4102,
116
  "step": 180
117
  },
118
  {
119
+ "epoch": 0.03,
120
  "learning_rate": 0.0002,
121
+ "loss": 2.4299,
122
  "step": 190
123
  },
124
  {
125
+ "epoch": 0.03,
126
  "learning_rate": 0.0002,
127
+ "loss": 2.2748,
128
  "step": 200
129
  },
130
  {
131
+ "epoch": 0.04,
132
  "learning_rate": 0.0002,
133
+ "loss": 2.5647,
134
  "step": 210
135
  },
136
  {
137
+ "epoch": 0.04,
138
  "learning_rate": 0.0002,
139
+ "loss": 2.4367,
140
  "step": 220
141
  },
142
  {
143
+ "epoch": 0.04,
144
  "learning_rate": 0.0002,
145
+ "loss": 2.4337,
146
  "step": 230
147
  },
148
  {
149
+ "epoch": 0.04,
150
  "learning_rate": 0.0002,
151
+ "loss": 2.3807,
152
  "step": 240
153
  },
154
  {
155
+ "epoch": 0.04,
156
  "learning_rate": 0.0002,
157
+ "loss": 2.2684,
158
  "step": 250
159
  },
160
  {
161
+ "epoch": 0.04,
162
  "learning_rate": 0.0002,
163
+ "loss": 2.5007,
164
  "step": 260
165
  },
166
  {
167
+ "epoch": 0.05,
168
  "learning_rate": 0.0002,
169
+ "loss": 2.3955,
170
  "step": 270
171
  },
172
  {
173
+ "epoch": 0.05,
174
  "learning_rate": 0.0002,
175
+ "loss": 2.3898,
176
  "step": 280
177
  },
178
  {
179
+ "epoch": 0.05,
180
  "learning_rate": 0.0002,
181
+ "loss": 2.4153,
182
  "step": 290
183
  },
184
  {
185
+ "epoch": 0.05,
186
  "learning_rate": 0.0002,
187
+ "loss": 2.1962,
188
  "step": 300
189
  },
190
  {
191
+ "epoch": 0.05,
192
  "learning_rate": 0.0002,
193
+ "loss": 2.4459,
194
  "step": 310
195
  },
196
  {
197
+ "epoch": 0.05,
198
  "learning_rate": 0.0002,
199
+ "loss": 2.3572,
200
  "step": 320
201
  },
202
  {
203
+ "epoch": 0.06,
204
  "learning_rate": 0.0002,
205
+ "loss": 2.4047,
206
  "step": 330
207
  },
208
  {
209
+ "epoch": 0.06,
210
  "learning_rate": 0.0002,
211
+ "loss": 2.3468,
212
  "step": 340
213
  },
214
  {
215
+ "epoch": 0.06,
216
  "learning_rate": 0.0002,
217
+ "loss": 2.2472,
218
  "step": 350
219
  },
220
  {
221
+ "epoch": 0.06,
222
  "learning_rate": 0.0002,
223
+ "loss": 2.4912,
224
  "step": 360
225
  },
226
  {
227
+ "epoch": 0.06,
228
  "learning_rate": 0.0002,
229
+ "loss": 2.3635,
230
  "step": 370
231
  },
232
  {
233
+ "epoch": 0.07,
234
  "learning_rate": 0.0002,
235
+ "loss": 2.3732,
236
  "step": 380
237
  },
238
  {
239
+ "epoch": 0.07,
240
  "learning_rate": 0.0002,
241
+ "loss": 2.3813,
242
  "step": 390
243
  },
244
  {
245
+ "epoch": 0.07,
246
  "learning_rate": 0.0002,
247
+ "loss": 2.0932,
248
  "step": 400
249
  },
250
  {
251
+ "epoch": 0.07,
252
  "learning_rate": 0.0002,
253
+ "loss": 2.5275,
254
  "step": 410
255
  },
256
  {
257
+ "epoch": 0.07,
258
  "learning_rate": 0.0002,
259
+ "loss": 2.3711,
260
  "step": 420
261
  },
262
  {
263
+ "epoch": 0.07,
264
  "learning_rate": 0.0002,
265
+ "loss": 2.364,
266
  "step": 430
267
  },
268
  {
269
+ "epoch": 0.08,
270
  "learning_rate": 0.0002,
271
+ "loss": 2.3475,
272
  "step": 440
273
  },
274
  {
275
+ "epoch": 0.08,
276
  "learning_rate": 0.0002,
277
+ "loss": 2.2098,
278
  "step": 450
279
  },
280
  {
281
+ "epoch": 0.08,
282
  "learning_rate": 0.0002,
283
+ "loss": 2.4563,
284
  "step": 460
285
  },
286
  {
287
+ "epoch": 0.08,
288
  "learning_rate": 0.0002,
289
+ "loss": 2.385,
290
  "step": 470
291
  },
292
  {
293
+ "epoch": 0.08,
294
  "learning_rate": 0.0002,
295
+ "loss": 2.3669,
296
  "step": 480
297
  },
298
  {
299
+ "epoch": 0.08,
300
  "learning_rate": 0.0002,
301
+ "loss": 2.41,
302
  "step": 490
303
  },
304
  {
305
+ "epoch": 0.09,
306
  "learning_rate": 0.0002,
307
+ "loss": 2.1759,
308
  "step": 500
309
  }
310
  ],
311
  "max_steps": 500,
312
  "num_train_epochs": 1,
313
+ "total_flos": 3.806741872341811e+16,
314
  "trial_name": null,
315
  "trial_params": null
316
  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:00dd95671ba3e81fb44880e9a3d3ceee276294302e82002a2ade3eb27e6f042c
3
  size 3963
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3d4f38ea2ce564961f05463e079bab73584cf1f2f14c1ee0013c0984507b263
3
  size 3963