gpucce commited on
Commit
b756d19
1 Parent(s): 28d4bdb

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,12 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ checkpoint-401/optimizer_0/.metadata filter=lfs diff=lfs merge=lfs -text
37
+ checkpoint-401/optimizer_0/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
38
+ checkpoint-401/optimizer_0/__1_0.distcp filter=lfs diff=lfs merge=lfs -text
39
+ checkpoint-401/optimizer_0/__2_0.distcp filter=lfs diff=lfs merge=lfs -text
40
+ checkpoint-401/optimizer_0/__3_0.distcp filter=lfs diff=lfs merge=lfs -text
41
+ checkpoint-401/pytorch_model_fsdp_0/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
42
+ checkpoint-401/pytorch_model_fsdp_0/__1_0.distcp filter=lfs diff=lfs merge=lfs -text
43
+ checkpoint-401/pytorch_model_fsdp_0/__2_0.distcp filter=lfs diff=lfs merge=lfs -text
44
+ checkpoint-401/pytorch_model_fsdp_0/__3_0.distcp filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "###Summary:": 32769,
3
+ "###Text:": 32768
4
+ }
checkpoint-401/optimizer_0/.metadata ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4310a1bdfb52835647b8f29bfc7389dfdb71c19d351cb120af12c66848aada96
3
+ size 1256163
checkpoint-401/optimizer_0/__0_0.distcp ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a42da9aa18b6c91a38cbfc0efd14de793c113a7add35a61c54c47fbf4d152d0
3
+ size 43000320
checkpoint-401/optimizer_0/__1_0.distcp ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5bf7e1b5bdbbaf5aeffa440bc67ac729d29b5ca071e5970d0fa08edb6e815020
3
+ size 43217192
checkpoint-401/optimizer_0/__2_0.distcp ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3c68724773f134068683bd3c5b717ccf45db80f3b6d711788dd91d2adb5c1d4c
3
+ size 43183916
checkpoint-401/optimizer_0/__3_0.distcp ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b610950c67c4171a511e0856a8a510fba205ad70434d6c552f05880ecea3aea7
3
+ size 43183916
checkpoint-401/pytorch_model_fsdp_0/.metadata ADDED
Binary file (464 kB). View file
 
checkpoint-401/pytorch_model_fsdp_0/__0_0.distcp ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8ac47831aa338e3d876c3a29ae2e6fdcb5d5d13f6c6a46ac3ba304630cca598
3
+ size 21500160
checkpoint-401/pytorch_model_fsdp_0/__1_0.distcp ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2bb97b926f8e63d94c419ec729fc9eeaef45d798315d619eadc13121470bc9eb
3
+ size 21500160
checkpoint-401/pytorch_model_fsdp_0/__2_0.distcp ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:058e34dab572c161c153df365eee6198e1d4806d8825caebb645f929aa2af63a
3
+ size 21500160
checkpoint-401/pytorch_model_fsdp_0/__3_0.distcp ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7734c04853cff673353bc27772193ad148637613556393786b2b6fd4c8800de
3
+ size 21500160
checkpoint-401/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a422205a5dfdbbb4e7f3e29bcbeba705ba5a4ace2bd08020f5cd8f69d2b75418
3
+ size 14960
checkpoint-401/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:107c82785b577a5c7006add66bfa25a6f2d10a1dd217353f869d4bd17ac7310c
3
+ size 14960
checkpoint-401/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b626c2ae3d8d15b5a399b7b402abb2d6e9fc644dfb59070e17012fb2fabeaba
3
+ size 14960
checkpoint-401/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4fc1fc9901aff901a14f9df0996fbd1ffe5daa7d9e10a56c67573221a0b08226
3
+ size 14960
checkpoint-401/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f51ba702a8e55fe0423f29aa608b7be9b0834a9f76c186464806e7107c0cc54d
3
+ size 1064
checkpoint-401/trainer_state.json ADDED
@@ -0,0 +1,861 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.9996105008958479,
5
+ "eval_steps": 25,
6
+ "global_step": 401,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.009971177066292747,
13
+ "grad_norm": 7.652912616729736,
14
+ "learning_rate": 1.9512195121951222e-05,
15
+ "loss": 2.2965,
16
+ "step": 4
17
+ },
18
+ {
19
+ "epoch": 0.019942354132585494,
20
+ "grad_norm": 25.198680877685547,
21
+ "learning_rate": 3.9024390243902444e-05,
22
+ "loss": 2.1832,
23
+ "step": 8
24
+ },
25
+ {
26
+ "epoch": 0.029913531198878244,
27
+ "grad_norm": 1.633164405822754,
28
+ "learning_rate": 5.853658536585366e-05,
29
+ "loss": 2.0435,
30
+ "step": 12
31
+ },
32
+ {
33
+ "epoch": 0.03988470826517099,
34
+ "grad_norm": 1.5140329599380493,
35
+ "learning_rate": 7.804878048780489e-05,
36
+ "loss": 1.7848,
37
+ "step": 16
38
+ },
39
+ {
40
+ "epoch": 0.04985588533146374,
41
+ "grad_norm": 2.636758804321289,
42
+ "learning_rate": 9.75609756097561e-05,
43
+ "loss": 1.5732,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.05982706239775649,
48
+ "grad_norm": 1.3496147394180298,
49
+ "learning_rate": 0.00011707317073170732,
50
+ "loss": 1.4785,
51
+ "step": 24
52
+ },
53
+ {
54
+ "epoch": 0.062319856664329674,
55
+ "eval_loss": 1.4366233348846436,
56
+ "eval_runtime": 140.1422,
57
+ "eval_samples_per_second": 29.227,
58
+ "eval_steps_per_second": 1.827,
59
+ "step": 25
60
+ },
61
+ {
62
+ "epoch": 0.06979823946404923,
63
+ "grad_norm": 0.6696961522102356,
64
+ "learning_rate": 0.00013658536585365856,
65
+ "loss": 1.4621,
66
+ "step": 28
67
+ },
68
+ {
69
+ "epoch": 0.07976941653034197,
70
+ "grad_norm": 0.5544710159301758,
71
+ "learning_rate": 0.00015609756097560978,
72
+ "loss": 1.4146,
73
+ "step": 32
74
+ },
75
+ {
76
+ "epoch": 0.08974059359663472,
77
+ "grad_norm": 0.5817800760269165,
78
+ "learning_rate": 0.000175609756097561,
79
+ "loss": 1.3902,
80
+ "step": 36
81
+ },
82
+ {
83
+ "epoch": 0.09971177066292748,
84
+ "grad_norm": 0.49702659249305725,
85
+ "learning_rate": 0.0001951219512195122,
86
+ "loss": 1.3624,
87
+ "step": 40
88
+ },
89
+ {
90
+ "epoch": 0.10968294772922023,
91
+ "grad_norm": 0.5360238552093506,
92
+ "learning_rate": 0.00019833333333333335,
93
+ "loss": 1.4103,
94
+ "step": 44
95
+ },
96
+ {
97
+ "epoch": 0.11965412479551298,
98
+ "grad_norm": 0.6442453265190125,
99
+ "learning_rate": 0.00019611111111111112,
100
+ "loss": 1.3618,
101
+ "step": 48
102
+ },
103
+ {
104
+ "epoch": 0.12463971332865935,
105
+ "eval_loss": 1.3544318675994873,
106
+ "eval_runtime": 137.5844,
107
+ "eval_samples_per_second": 29.771,
108
+ "eval_steps_per_second": 1.861,
109
+ "step": 50
110
+ },
111
+ {
112
+ "epoch": 0.1296253018618057,
113
+ "grad_norm": 0.46826621890068054,
114
+ "learning_rate": 0.0001938888888888889,
115
+ "loss": 1.3712,
116
+ "step": 52
117
+ },
118
+ {
119
+ "epoch": 0.13959647892809846,
120
+ "grad_norm": 0.47624409198760986,
121
+ "learning_rate": 0.00019166666666666667,
122
+ "loss": 1.3469,
123
+ "step": 56
124
+ },
125
+ {
126
+ "epoch": 0.1495676559943912,
127
+ "grad_norm": 0.449796587228775,
128
+ "learning_rate": 0.00018944444444444445,
129
+ "loss": 1.3431,
130
+ "step": 60
131
+ },
132
+ {
133
+ "epoch": 0.15953883306068395,
134
+ "grad_norm": 0.5890815258026123,
135
+ "learning_rate": 0.00018722222222222222,
136
+ "loss": 1.3511,
137
+ "step": 64
138
+ },
139
+ {
140
+ "epoch": 0.1695100101269767,
141
+ "grad_norm": 0.429056316614151,
142
+ "learning_rate": 0.00018500000000000002,
143
+ "loss": 1.342,
144
+ "step": 68
145
+ },
146
+ {
147
+ "epoch": 0.17948118719326944,
148
+ "grad_norm": 0.4640163481235504,
149
+ "learning_rate": 0.00018277777777777777,
150
+ "loss": 1.3353,
151
+ "step": 72
152
+ },
153
+ {
154
+ "epoch": 0.18695956999298902,
155
+ "eval_loss": 1.3305575847625732,
156
+ "eval_runtime": 137.0065,
157
+ "eval_samples_per_second": 29.896,
158
+ "eval_steps_per_second": 1.869,
159
+ "step": 75
160
+ },
161
+ {
162
+ "epoch": 0.1894523642595622,
163
+ "grad_norm": 0.4788176715373993,
164
+ "learning_rate": 0.00018055555555555557,
165
+ "loss": 1.3255,
166
+ "step": 76
167
+ },
168
+ {
169
+ "epoch": 0.19942354132585496,
170
+ "grad_norm": 0.43469157814979553,
171
+ "learning_rate": 0.00017833333333333335,
172
+ "loss": 1.324,
173
+ "step": 80
174
+ },
175
+ {
176
+ "epoch": 0.2093947183921477,
177
+ "grad_norm": 0.4492317736148834,
178
+ "learning_rate": 0.00017611111111111112,
179
+ "loss": 1.3325,
180
+ "step": 84
181
+ },
182
+ {
183
+ "epoch": 0.21936589545844046,
184
+ "grad_norm": 0.4481510519981384,
185
+ "learning_rate": 0.0001738888888888889,
186
+ "loss": 1.3575,
187
+ "step": 88
188
+ },
189
+ {
190
+ "epoch": 0.2293370725247332,
191
+ "grad_norm": 0.4316515624523163,
192
+ "learning_rate": 0.00017166666666666667,
193
+ "loss": 1.3247,
194
+ "step": 92
195
+ },
196
+ {
197
+ "epoch": 0.23930824959102595,
198
+ "grad_norm": 0.48252755403518677,
199
+ "learning_rate": 0.00016944444444444445,
200
+ "loss": 1.3314,
201
+ "step": 96
202
+ },
203
+ {
204
+ "epoch": 0.2492794266573187,
205
+ "grad_norm": 0.49299389123916626,
206
+ "learning_rate": 0.00016722222222222222,
207
+ "loss": 1.3422,
208
+ "step": 100
209
+ },
210
+ {
211
+ "epoch": 0.2492794266573187,
212
+ "eval_loss": 1.319018840789795,
213
+ "eval_runtime": 137.544,
214
+ "eval_samples_per_second": 29.78,
215
+ "eval_steps_per_second": 1.861,
216
+ "step": 100
217
+ },
218
+ {
219
+ "epoch": 0.2592506037236114,
220
+ "grad_norm": 0.4329146444797516,
221
+ "learning_rate": 0.000165,
222
+ "loss": 1.3041,
223
+ "step": 104
224
+ },
225
+ {
226
+ "epoch": 0.26922178078990416,
227
+ "grad_norm": 0.42452341318130493,
228
+ "learning_rate": 0.00016277777777777777,
229
+ "loss": 1.3334,
230
+ "step": 108
231
+ },
232
+ {
233
+ "epoch": 0.2791929578561969,
234
+ "grad_norm": 0.482371985912323,
235
+ "learning_rate": 0.00016055555555555558,
236
+ "loss": 1.3352,
237
+ "step": 112
238
+ },
239
+ {
240
+ "epoch": 0.28916413492248966,
241
+ "grad_norm": 0.4965856075286865,
242
+ "learning_rate": 0.00015833333333333332,
243
+ "loss": 1.3361,
244
+ "step": 116
245
+ },
246
+ {
247
+ "epoch": 0.2991353119887824,
248
+ "grad_norm": 0.4086521863937378,
249
+ "learning_rate": 0.00015611111111111113,
250
+ "loss": 1.3238,
251
+ "step": 120
252
+ },
253
+ {
254
+ "epoch": 0.30910648905507515,
255
+ "grad_norm": 0.5104921460151672,
256
+ "learning_rate": 0.0001538888888888889,
257
+ "loss": 1.3064,
258
+ "step": 124
259
+ },
260
+ {
261
+ "epoch": 0.3115992833216484,
262
+ "eval_loss": 1.3116130828857422,
263
+ "eval_runtime": 142.0878,
264
+ "eval_samples_per_second": 28.827,
265
+ "eval_steps_per_second": 1.802,
266
+ "step": 125
267
+ },
268
+ {
269
+ "epoch": 0.3190776661213679,
270
+ "grad_norm": 0.4384579658508301,
271
+ "learning_rate": 0.00015166666666666668,
272
+ "loss": 1.3192,
273
+ "step": 128
274
+ },
275
+ {
276
+ "epoch": 0.32904884318766064,
277
+ "grad_norm": 0.41889750957489014,
278
+ "learning_rate": 0.00014944444444444445,
279
+ "loss": 1.326,
280
+ "step": 132
281
+ },
282
+ {
283
+ "epoch": 0.3390200202539534,
284
+ "grad_norm": 0.44409337639808655,
285
+ "learning_rate": 0.00014722222222222223,
286
+ "loss": 1.3291,
287
+ "step": 136
288
+ },
289
+ {
290
+ "epoch": 0.34899119732024614,
291
+ "grad_norm": 0.4266604483127594,
292
+ "learning_rate": 0.000145,
293
+ "loss": 1.3114,
294
+ "step": 140
295
+ },
296
+ {
297
+ "epoch": 0.3589623743865389,
298
+ "grad_norm": 0.4299560785293579,
299
+ "learning_rate": 0.00014277777777777778,
300
+ "loss": 1.2829,
301
+ "step": 144
302
+ },
303
+ {
304
+ "epoch": 0.36893355145283163,
305
+ "grad_norm": 0.4503760039806366,
306
+ "learning_rate": 0.00014055555555555555,
307
+ "loss": 1.3061,
308
+ "step": 148
309
+ },
310
+ {
311
+ "epoch": 0.37391913998597803,
312
+ "eval_loss": 1.3071435689926147,
313
+ "eval_runtime": 138.362,
314
+ "eval_samples_per_second": 29.604,
315
+ "eval_steps_per_second": 1.85,
316
+ "step": 150
317
+ },
318
+ {
319
+ "epoch": 0.3789047285191244,
320
+ "grad_norm": 0.42756497859954834,
321
+ "learning_rate": 0.00013833333333333333,
322
+ "loss": 1.3165,
323
+ "step": 152
324
+ },
325
+ {
326
+ "epoch": 0.3888759055854172,
327
+ "grad_norm": 0.4549823999404907,
328
+ "learning_rate": 0.00013611111111111113,
329
+ "loss": 1.3283,
330
+ "step": 156
331
+ },
332
+ {
333
+ "epoch": 0.3988470826517099,
334
+ "grad_norm": 0.43239399790763855,
335
+ "learning_rate": 0.00013388888888888888,
336
+ "loss": 1.3074,
337
+ "step": 160
338
+ },
339
+ {
340
+ "epoch": 0.4088182597180027,
341
+ "grad_norm": 0.4290738105773926,
342
+ "learning_rate": 0.00013166666666666668,
343
+ "loss": 1.2981,
344
+ "step": 164
345
+ },
346
+ {
347
+ "epoch": 0.4187894367842954,
348
+ "grad_norm": 0.6137893795967102,
349
+ "learning_rate": 0.00012944444444444445,
350
+ "loss": 1.3113,
351
+ "step": 168
352
+ },
353
+ {
354
+ "epoch": 0.42876061385058817,
355
+ "grad_norm": 0.4174145460128784,
356
+ "learning_rate": 0.00012722222222222223,
357
+ "loss": 1.2837,
358
+ "step": 172
359
+ },
360
+ {
361
+ "epoch": 0.4362389966503077,
362
+ "eval_loss": 1.3025227785110474,
363
+ "eval_runtime": 138.018,
364
+ "eval_samples_per_second": 29.677,
365
+ "eval_steps_per_second": 1.855,
366
+ "step": 175
367
+ },
368
+ {
369
+ "epoch": 0.4387317909168809,
370
+ "grad_norm": 0.4010506272315979,
371
+ "learning_rate": 0.000125,
372
+ "loss": 1.31,
373
+ "step": 176
374
+ },
375
+ {
376
+ "epoch": 0.44870296798317366,
377
+ "grad_norm": 0.42004135251045227,
378
+ "learning_rate": 0.0001227777777777778,
379
+ "loss": 1.3001,
380
+ "step": 180
381
+ },
382
+ {
383
+ "epoch": 0.4586741450494664,
384
+ "grad_norm": 0.434986412525177,
385
+ "learning_rate": 0.00012055555555555555,
386
+ "loss": 1.3285,
387
+ "step": 184
388
+ },
389
+ {
390
+ "epoch": 0.46864532211575916,
391
+ "grad_norm": 0.4850348234176636,
392
+ "learning_rate": 0.00011833333333333334,
393
+ "loss": 1.3145,
394
+ "step": 188
395
+ },
396
+ {
397
+ "epoch": 0.4786164991820519,
398
+ "grad_norm": 0.42585763335227966,
399
+ "learning_rate": 0.00011611111111111113,
400
+ "loss": 1.288,
401
+ "step": 192
402
+ },
403
+ {
404
+ "epoch": 0.48858767624834465,
405
+ "grad_norm": 0.5526877045631409,
406
+ "learning_rate": 0.00011388888888888889,
407
+ "loss": 1.3069,
408
+ "step": 196
409
+ },
410
+ {
411
+ "epoch": 0.4985588533146374,
412
+ "grad_norm": 0.44904306530952454,
413
+ "learning_rate": 0.00011166666666666668,
414
+ "loss": 1.3299,
415
+ "step": 200
416
+ },
417
+ {
418
+ "epoch": 0.4985588533146374,
419
+ "eval_loss": 1.2983635663986206,
420
+ "eval_runtime": 137.4814,
421
+ "eval_samples_per_second": 29.793,
422
+ "eval_steps_per_second": 1.862,
423
+ "step": 200
424
+ },
425
+ {
426
+ "epoch": 0.5085300303809301,
427
+ "grad_norm": 0.43869510293006897,
428
+ "learning_rate": 0.00010944444444444445,
429
+ "loss": 1.3097,
430
+ "step": 204
431
+ },
432
+ {
433
+ "epoch": 0.5185012074472228,
434
+ "grad_norm": 0.4270603060722351,
435
+ "learning_rate": 0.00010722222222222223,
436
+ "loss": 1.3294,
437
+ "step": 208
438
+ },
439
+ {
440
+ "epoch": 0.5284723845135156,
441
+ "grad_norm": 0.43747490644454956,
442
+ "learning_rate": 0.000105,
443
+ "loss": 1.317,
444
+ "step": 212
445
+ },
446
+ {
447
+ "epoch": 0.5384435615798083,
448
+ "grad_norm": 0.4406147301197052,
449
+ "learning_rate": 0.00010277777777777778,
450
+ "loss": 1.2965,
451
+ "step": 216
452
+ },
453
+ {
454
+ "epoch": 0.5484147386461011,
455
+ "grad_norm": 0.4331868290901184,
456
+ "learning_rate": 0.00010055555555555555,
457
+ "loss": 1.2863,
458
+ "step": 220
459
+ },
460
+ {
461
+ "epoch": 0.5583859157123938,
462
+ "grad_norm": 0.42832815647125244,
463
+ "learning_rate": 9.833333333333333e-05,
464
+ "loss": 1.2968,
465
+ "step": 224
466
+ },
467
+ {
468
+ "epoch": 0.560878709978967,
469
+ "eval_loss": 1.2944072484970093,
470
+ "eval_runtime": 137.7551,
471
+ "eval_samples_per_second": 29.734,
472
+ "eval_steps_per_second": 1.858,
473
+ "step": 225
474
+ },
475
+ {
476
+ "epoch": 0.5683570927786866,
477
+ "grad_norm": 0.43270131945610046,
478
+ "learning_rate": 9.611111111111112e-05,
479
+ "loss": 1.2904,
480
+ "step": 228
481
+ },
482
+ {
483
+ "epoch": 0.5783282698449793,
484
+ "grad_norm": 0.4404992461204529,
485
+ "learning_rate": 9.388888888888889e-05,
486
+ "loss": 1.31,
487
+ "step": 232
488
+ },
489
+ {
490
+ "epoch": 0.5882994469112721,
491
+ "grad_norm": 0.44887053966522217,
492
+ "learning_rate": 9.166666666666667e-05,
493
+ "loss": 1.3015,
494
+ "step": 236
495
+ },
496
+ {
497
+ "epoch": 0.5982706239775648,
498
+ "grad_norm": 0.42438870668411255,
499
+ "learning_rate": 8.944444444444446e-05,
500
+ "loss": 1.3053,
501
+ "step": 240
502
+ },
503
+ {
504
+ "epoch": 0.6082418010438576,
505
+ "grad_norm": 0.4337781071662903,
506
+ "learning_rate": 8.722222222222223e-05,
507
+ "loss": 1.278,
508
+ "step": 244
509
+ },
510
+ {
511
+ "epoch": 0.6182129781101503,
512
+ "grad_norm": 0.4185997247695923,
513
+ "learning_rate": 8.5e-05,
514
+ "loss": 1.2979,
515
+ "step": 248
516
+ },
517
+ {
518
+ "epoch": 0.6231985666432968,
519
+ "eval_loss": 1.290996789932251,
520
+ "eval_runtime": 137.572,
521
+ "eval_samples_per_second": 29.773,
522
+ "eval_steps_per_second": 1.861,
523
+ "step": 250
524
+ },
525
+ {
526
+ "epoch": 0.6281841551764431,
527
+ "grad_norm": 0.4232589900493622,
528
+ "learning_rate": 8.277777777777778e-05,
529
+ "loss": 1.2937,
530
+ "step": 252
531
+ },
532
+ {
533
+ "epoch": 0.6381553322427358,
534
+ "grad_norm": 0.44364941120147705,
535
+ "learning_rate": 8.055555555555556e-05,
536
+ "loss": 1.3272,
537
+ "step": 256
538
+ },
539
+ {
540
+ "epoch": 0.6481265093090286,
541
+ "grad_norm": 0.4201723635196686,
542
+ "learning_rate": 7.833333333333333e-05,
543
+ "loss": 1.311,
544
+ "step": 260
545
+ },
546
+ {
547
+ "epoch": 0.6580976863753213,
548
+ "grad_norm": 0.4404850900173187,
549
+ "learning_rate": 7.61111111111111e-05,
550
+ "loss": 1.312,
551
+ "step": 264
552
+ },
553
+ {
554
+ "epoch": 0.6680688634416141,
555
+ "grad_norm": 0.42794689536094666,
556
+ "learning_rate": 7.38888888888889e-05,
557
+ "loss": 1.2697,
558
+ "step": 268
559
+ },
560
+ {
561
+ "epoch": 0.6780400405079068,
562
+ "grad_norm": 0.45072466135025024,
563
+ "learning_rate": 7.166666666666667e-05,
564
+ "loss": 1.2878,
565
+ "step": 272
566
+ },
567
+ {
568
+ "epoch": 0.6855184233076264,
569
+ "eval_loss": 1.2891337871551514,
570
+ "eval_runtime": 137.4053,
571
+ "eval_samples_per_second": 29.81,
572
+ "eval_steps_per_second": 1.863,
573
+ "step": 275
574
+ },
575
+ {
576
+ "epoch": 0.6880112175741996,
577
+ "grad_norm": 0.42994165420532227,
578
+ "learning_rate": 6.944444444444444e-05,
579
+ "loss": 1.2823,
580
+ "step": 276
581
+ },
582
+ {
583
+ "epoch": 0.6979823946404923,
584
+ "grad_norm": 0.44423794746398926,
585
+ "learning_rate": 6.722222222222223e-05,
586
+ "loss": 1.2828,
587
+ "step": 280
588
+ },
589
+ {
590
+ "epoch": 0.7079535717067851,
591
+ "grad_norm": 0.4406779110431671,
592
+ "learning_rate": 6.500000000000001e-05,
593
+ "loss": 1.2836,
594
+ "step": 284
595
+ },
596
+ {
597
+ "epoch": 0.7179247487730778,
598
+ "grad_norm": 0.4179854094982147,
599
+ "learning_rate": 6.277777777777778e-05,
600
+ "loss": 1.3222,
601
+ "step": 288
602
+ },
603
+ {
604
+ "epoch": 0.7278959258393706,
605
+ "grad_norm": 0.42552730441093445,
606
+ "learning_rate": 6.055555555555555e-05,
607
+ "loss": 1.3059,
608
+ "step": 292
609
+ },
610
+ {
611
+ "epoch": 0.7378671029056633,
612
+ "grad_norm": 0.45751523971557617,
613
+ "learning_rate": 5.833333333333334e-05,
614
+ "loss": 1.2756,
615
+ "step": 296
616
+ },
617
+ {
618
+ "epoch": 0.7478382799719561,
619
+ "grad_norm": 0.4325704276561737,
620
+ "learning_rate": 5.6111111111111114e-05,
621
+ "loss": 1.2734,
622
+ "step": 300
623
+ },
624
+ {
625
+ "epoch": 0.7478382799719561,
626
+ "eval_loss": 1.2868282794952393,
627
+ "eval_runtime": 137.7011,
628
+ "eval_samples_per_second": 29.746,
629
+ "eval_steps_per_second": 1.859,
630
+ "step": 300
631
+ },
632
+ {
633
+ "epoch": 0.7578094570382488,
634
+ "grad_norm": 0.4315655529499054,
635
+ "learning_rate": 5.388888888888889e-05,
636
+ "loss": 1.3283,
637
+ "step": 304
638
+ },
639
+ {
640
+ "epoch": 0.7677806341045416,
641
+ "grad_norm": 0.4370616376399994,
642
+ "learning_rate": 5.166666666666667e-05,
643
+ "loss": 1.2928,
644
+ "step": 308
645
+ },
646
+ {
647
+ "epoch": 0.7777518111708344,
648
+ "grad_norm": 0.46377331018447876,
649
+ "learning_rate": 4.9444444444444446e-05,
650
+ "loss": 1.2502,
651
+ "step": 312
652
+ },
653
+ {
654
+ "epoch": 0.787722988237127,
655
+ "grad_norm": 0.42414504289627075,
656
+ "learning_rate": 4.722222222222222e-05,
657
+ "loss": 1.2988,
658
+ "step": 316
659
+ },
660
+ {
661
+ "epoch": 0.7976941653034199,
662
+ "grad_norm": 0.42951062321662903,
663
+ "learning_rate": 4.5e-05,
664
+ "loss": 1.2756,
665
+ "step": 320
666
+ },
667
+ {
668
+ "epoch": 0.8076653423697125,
669
+ "grad_norm": 0.44111117720603943,
670
+ "learning_rate": 4.277777777777778e-05,
671
+ "loss": 1.2826,
672
+ "step": 324
673
+ },
674
+ {
675
+ "epoch": 0.8101581366362858,
676
+ "eval_loss": 1.2843713760375977,
677
+ "eval_runtime": 136.8431,
678
+ "eval_samples_per_second": 29.932,
679
+ "eval_steps_per_second": 1.871,
680
+ "step": 325
681
+ },
682
+ {
683
+ "epoch": 0.8176365194360053,
684
+ "grad_norm": 0.453071266412735,
685
+ "learning_rate": 4.055555555555556e-05,
686
+ "loss": 1.3157,
687
+ "step": 328
688
+ },
689
+ {
690
+ "epoch": 0.827607696502298,
691
+ "grad_norm": 0.4466659426689148,
692
+ "learning_rate": 3.8333333333333334e-05,
693
+ "loss": 1.3015,
694
+ "step": 332
695
+ },
696
+ {
697
+ "epoch": 0.8375788735685908,
698
+ "grad_norm": 0.47975486516952515,
699
+ "learning_rate": 3.611111111111111e-05,
700
+ "loss": 1.2719,
701
+ "step": 336
702
+ },
703
+ {
704
+ "epoch": 0.8475500506348835,
705
+ "grad_norm": 0.4295012056827545,
706
+ "learning_rate": 3.388888888888889e-05,
707
+ "loss": 1.2761,
708
+ "step": 340
709
+ },
710
+ {
711
+ "epoch": 0.8575212277011763,
712
+ "grad_norm": 0.4600393772125244,
713
+ "learning_rate": 3.1666666666666666e-05,
714
+ "loss": 1.3026,
715
+ "step": 344
716
+ },
717
+ {
718
+ "epoch": 0.867492404767469,
719
+ "grad_norm": 0.4381970167160034,
720
+ "learning_rate": 2.9444444444444448e-05,
721
+ "loss": 1.2989,
722
+ "step": 348
723
+ },
724
+ {
725
+ "epoch": 0.8724779933006154,
726
+ "eval_loss": 1.283011794090271,
727
+ "eval_runtime": 136.5997,
728
+ "eval_samples_per_second": 29.985,
729
+ "eval_steps_per_second": 1.874,
730
+ "step": 350
731
+ },
732
+ {
733
+ "epoch": 0.8774635818337618,
734
+ "grad_norm": 0.4486907720565796,
735
+ "learning_rate": 2.7222222222222223e-05,
736
+ "loss": 1.2821,
737
+ "step": 352
738
+ },
739
+ {
740
+ "epoch": 0.8874347589000545,
741
+ "grad_norm": 0.4515422582626343,
742
+ "learning_rate": 2.5e-05,
743
+ "loss": 1.3049,
744
+ "step": 356
745
+ },
746
+ {
747
+ "epoch": 0.8974059359663473,
748
+ "grad_norm": 0.430318146944046,
749
+ "learning_rate": 2.277777777777778e-05,
750
+ "loss": 1.2848,
751
+ "step": 360
752
+ },
753
+ {
754
+ "epoch": 0.90737711303264,
755
+ "grad_norm": 0.4484976828098297,
756
+ "learning_rate": 2.0555555555555555e-05,
757
+ "loss": 1.3249,
758
+ "step": 364
759
+ },
760
+ {
761
+ "epoch": 0.9173482900989328,
762
+ "grad_norm": 0.43680936098098755,
763
+ "learning_rate": 1.8333333333333333e-05,
764
+ "loss": 1.2724,
765
+ "step": 368
766
+ },
767
+ {
768
+ "epoch": 0.9273194671652255,
769
+ "grad_norm": 0.45802849531173706,
770
+ "learning_rate": 1.6111111111111115e-05,
771
+ "loss": 1.3046,
772
+ "step": 372
773
+ },
774
+ {
775
+ "epoch": 0.9347978499649451,
776
+ "eval_loss": 1.2813191413879395,
777
+ "eval_runtime": 137.1907,
778
+ "eval_samples_per_second": 29.856,
779
+ "eval_steps_per_second": 1.866,
780
+ "step": 375
781
+ },
782
+ {
783
+ "epoch": 0.9372906442315183,
784
+ "grad_norm": 0.4513862133026123,
785
+ "learning_rate": 1.388888888888889e-05,
786
+ "loss": 1.2824,
787
+ "step": 376
788
+ },
789
+ {
790
+ "epoch": 0.947261821297811,
791
+ "grad_norm": 0.43908172845840454,
792
+ "learning_rate": 1.1666666666666668e-05,
793
+ "loss": 1.2946,
794
+ "step": 380
795
+ },
796
+ {
797
+ "epoch": 0.9572329983641038,
798
+ "grad_norm": 0.4305504858493805,
799
+ "learning_rate": 9.444444444444445e-06,
800
+ "loss": 1.2842,
801
+ "step": 384
802
+ },
803
+ {
804
+ "epoch": 0.9672041754303965,
805
+ "grad_norm": 0.4479218125343323,
806
+ "learning_rate": 7.222222222222222e-06,
807
+ "loss": 1.3138,
808
+ "step": 388
809
+ },
810
+ {
811
+ "epoch": 0.9771753524966893,
812
+ "grad_norm": 0.43993687629699707,
813
+ "learning_rate": 5e-06,
814
+ "loss": 1.3092,
815
+ "step": 392
816
+ },
817
+ {
818
+ "epoch": 0.987146529562982,
819
+ "grad_norm": 0.438343346118927,
820
+ "learning_rate": 2.777777777777778e-06,
821
+ "loss": 1.2904,
822
+ "step": 396
823
+ },
824
+ {
825
+ "epoch": 0.9971177066292748,
826
+ "grad_norm": 0.4632357954978943,
827
+ "learning_rate": 5.555555555555556e-07,
828
+ "loss": 1.2978,
829
+ "step": 400
830
+ },
831
+ {
832
+ "epoch": 0.9971177066292748,
833
+ "eval_loss": 1.2806103229522705,
834
+ "eval_runtime": 137.0794,
835
+ "eval_samples_per_second": 29.88,
836
+ "eval_steps_per_second": 1.868,
837
+ "step": 400
838
+ }
839
+ ],
840
+ "logging_steps": 4,
841
+ "max_steps": 401,
842
+ "num_input_tokens_seen": 0,
843
+ "num_train_epochs": 1,
844
+ "save_steps": 512,
845
+ "stateful_callbacks": {
846
+ "TrainerControl": {
847
+ "args": {
848
+ "should_epoch_stop": false,
849
+ "should_evaluate": false,
850
+ "should_log": false,
851
+ "should_save": true,
852
+ "should_training_stop": true
853
+ },
854
+ "attributes": {}
855
+ }
856
+ },
857
+ "total_flos": 2.5348543338753556e+18,
858
+ "train_batch_size": 2,
859
+ "trial_name": null,
860
+ "trial_params": null
861
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ {
4
+ "content": "###Text:",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ {
11
+ "content": "###Summary:",
12
+ "lstrip": false,
13
+ "normalized": false,
14
+ "rstrip": false,
15
+ "single_word": false
16
+ }
17
+ ],
18
+ "bos_token": {
19
+ "content": "<s>",
20
+ "lstrip": false,
21
+ "normalized": false,
22
+ "rstrip": false,
23
+ "single_word": false
24
+ },
25
+ "eos_token": {
26
+ "content": "</s>",
27
+ "lstrip": false,
28
+ "normalized": false,
29
+ "rstrip": false,
30
+ "single_word": false
31
+ },
32
+ "pad_token": "<unk>",
33
+ "unk_token": {
34
+ "content": "<unk>",
35
+ "lstrip": false,
36
+ "normalized": false,
37
+ "rstrip": false,
38
+ "single_word": false
39
+ }
40
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb411d9f702041597b9c84f0c99ee6601f02631467e2a76722db3ca1a2a77bf5
3
+ size 795167
tokenizer_config.json ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "32768": {
31
+ "content": "###Text:",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "32769": {
39
+ "content": "###Summary:",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": true
45
+ }
46
+ },
47
+ "additional_special_tokens": [
48
+ "###Text:",
49
+ "###Summary:"
50
+ ],
51
+ "bos_token": "<s>",
52
+ "clean_up_tokenization_spaces": false,
53
+ "eos_token": "</s>",
54
+ "legacy": true,
55
+ "model_max_length": 2048,
56
+ "pad_token": "<unk>",
57
+ "sp_model_kwargs": {},
58
+ "spaces_between_special_tokens": false,
59
+ "tokenizer_class": "LlamaTokenizer",
60
+ "unk_token": "<unk>",
61
+ "use_default_system_prompt": true
62
+ }