htahir1 commited on
Commit
4e12967
1 Parent(s): dab8bb3

Upload folder using huggingface_hub

Browse files
Files changed (5) hide show
  1. README.md +1 -7
  2. optimizer.pt +3 -0
  3. rng_state.pth +3 -0
  4. scheduler.pt +3 -0
  5. trainer_state.json +341 -0
README.md CHANGED
@@ -1,12 +1,6 @@
1
  ---
2
- license: bigcode-openrail-m
3
- base_model: bigcode/starcoder
4
- tags:
5
- - generated_from_trainer
6
- model-index:
7
- - name: peft-lora-zencoder15B-A100-40GB
8
- results: []
9
  library_name: peft
 
10
  ---
11
 
12
  # Model Card for Model ID
 
1
  ---
 
 
 
 
 
 
 
2
  library_name: peft
3
+ base_model: bigcode/starcoder
4
  ---
5
 
6
  # Model Card for Model ID
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dbc36e1c878784099b46f5b9a718b335165f7613c64f61d059016e0cedfaa033
3
+ size 110696954
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e1dc61da6425213a4ed0c6718da9534c16f880b198a814db7fecbd699176650b
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c7b5bf190dc871967c45091d9f1ab233b2d2ed62baca21fee5dfedb5718ffa5d
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,341 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 100,
6
+ "global_step": 1000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.03,
13
+ "learning_rate": 0.0001666666666666667,
14
+ "loss": 0.8745,
15
+ "step": 25
16
+ },
17
+ {
18
+ "epoch": 0.05,
19
+ "learning_rate": 0.00019979028262377118,
20
+ "loss": 0.8093,
21
+ "step": 50
22
+ },
23
+ {
24
+ "epoch": 0.07,
25
+ "learning_rate": 0.00019893981312363562,
26
+ "loss": 0.7357,
27
+ "step": 75
28
+ },
29
+ {
30
+ "epoch": 0.1,
31
+ "learning_rate": 0.00019744105246469263,
32
+ "loss": 0.7535,
33
+ "step": 100
34
+ },
35
+ {
36
+ "epoch": 0.1,
37
+ "eval_loss": 0.4003306031227112,
38
+ "eval_runtime": 1.7839,
39
+ "eval_samples_per_second": 2.242,
40
+ "eval_steps_per_second": 0.561,
41
+ "step": 100
42
+ },
43
+ {
44
+ "epoch": 0.12,
45
+ "learning_rate": 0.0001953038210948861,
46
+ "loss": 0.7249,
47
+ "step": 125
48
+ },
49
+ {
50
+ "epoch": 0.15,
51
+ "learning_rate": 0.00019254212296427044,
52
+ "loss": 0.7118,
53
+ "step": 150
54
+ },
55
+ {
56
+ "epoch": 0.17,
57
+ "learning_rate": 0.00018917405376582145,
58
+ "loss": 0.7467,
59
+ "step": 175
60
+ },
61
+ {
62
+ "epoch": 0.2,
63
+ "learning_rate": 0.00018522168236559695,
64
+ "loss": 0.6714,
65
+ "step": 200
66
+ },
67
+ {
68
+ "epoch": 0.2,
69
+ "eval_loss": 0.3684937059879303,
70
+ "eval_runtime": 1.7853,
71
+ "eval_samples_per_second": 2.24,
72
+ "eval_steps_per_second": 0.56,
73
+ "step": 200
74
+ },
75
+ {
76
+ "epoch": 0.23,
77
+ "learning_rate": 0.00018071090619916093,
78
+ "loss": 0.654,
79
+ "step": 225
80
+ },
81
+ {
82
+ "epoch": 0.25,
83
+ "learning_rate": 0.00017567128158176953,
84
+ "loss": 0.6392,
85
+ "step": 250
86
+ },
87
+ {
88
+ "epoch": 0.28,
89
+ "learning_rate": 0.00017013583004418993,
90
+ "loss": 0.5745,
91
+ "step": 275
92
+ },
93
+ {
94
+ "epoch": 0.3,
95
+ "learning_rate": 0.000164140821963114,
96
+ "loss": 0.5364,
97
+ "step": 300
98
+ },
99
+ {
100
+ "epoch": 0.3,
101
+ "eval_loss": 0.3665352761745453,
102
+ "eval_runtime": 1.7852,
103
+ "eval_samples_per_second": 2.241,
104
+ "eval_steps_per_second": 0.56,
105
+ "step": 300
106
+ },
107
+ {
108
+ "epoch": 0.33,
109
+ "learning_rate": 0.00015772553890390197,
110
+ "loss": 0.5693,
111
+ "step": 325
112
+ },
113
+ {
114
+ "epoch": 0.35,
115
+ "learning_rate": 0.00015093201623287631,
116
+ "loss": 0.563,
117
+ "step": 350
118
+ },
119
+ {
120
+ "epoch": 0.38,
121
+ "learning_rate": 0.00014380476768566824,
122
+ "loss": 0.5478,
123
+ "step": 375
124
+ },
125
+ {
126
+ "epoch": 0.4,
127
+ "learning_rate": 0.00013639049369634876,
128
+ "loss": 0.5763,
129
+ "step": 400
130
+ },
131
+ {
132
+ "epoch": 0.4,
133
+ "eval_loss": 0.3363753855228424,
134
+ "eval_runtime": 1.7851,
135
+ "eval_samples_per_second": 2.241,
136
+ "eval_steps_per_second": 0.56,
137
+ "step": 400
138
+ },
139
+ {
140
+ "epoch": 0.42,
141
+ "learning_rate": 0.00012873777539848283,
142
+ "loss": 0.4891,
143
+ "step": 425
144
+ },
145
+ {
146
+ "epoch": 0.45,
147
+ "learning_rate": 0.00012089675630312754,
148
+ "loss": 0.5331,
149
+ "step": 450
150
+ },
151
+ {
152
+ "epoch": 0.47,
153
+ "learning_rate": 0.00011291881373954065,
154
+ "loss": 0.5679,
155
+ "step": 475
156
+ },
157
+ {
158
+ "epoch": 0.5,
159
+ "learning_rate": 0.00010485622221144484,
160
+ "loss": 0.5982,
161
+ "step": 500
162
+ },
163
+ {
164
+ "epoch": 0.5,
165
+ "eval_loss": 0.3186224400997162,
166
+ "eval_runtime": 1.7828,
167
+ "eval_samples_per_second": 2.244,
168
+ "eval_steps_per_second": 0.561,
169
+ "step": 500
170
+ },
171
+ {
172
+ "epoch": 0.53,
173
+ "learning_rate": 9.676181087466444e-05,
174
+ "loss": 0.5467,
175
+ "step": 525
176
+ },
177
+ {
178
+ "epoch": 0.55,
179
+ "learning_rate": 8.868861738047158e-05,
180
+ "loss": 0.5706,
181
+ "step": 550
182
+ },
183
+ {
184
+ "epoch": 0.57,
185
+ "learning_rate": 8.068954035279121e-05,
186
+ "loss": 0.504,
187
+ "step": 575
188
+ },
189
+ {
190
+ "epoch": 0.6,
191
+ "learning_rate": 7.281699277636572e-05,
192
+ "loss": 0.5267,
193
+ "step": 600
194
+ },
195
+ {
196
+ "epoch": 0.6,
197
+ "eval_loss": 0.32175499200820923,
198
+ "eval_runtime": 1.7846,
199
+ "eval_samples_per_second": 2.241,
200
+ "eval_steps_per_second": 0.56,
201
+ "step": 600
202
+ },
203
+ {
204
+ "epoch": 0.62,
205
+ "learning_rate": 6.512255856701177e-05,
206
+ "loss": 0.5414,
207
+ "step": 625
208
+ },
209
+ {
210
+ "epoch": 0.65,
211
+ "learning_rate": 5.765665457425102e-05,
212
+ "loss": 0.5412,
213
+ "step": 650
214
+ },
215
+ {
216
+ "epoch": 0.68,
217
+ "learning_rate": 5.0468200231001286e-05,
218
+ "loss": 0.4611,
219
+ "step": 675
220
+ },
221
+ {
222
+ "epoch": 0.7,
223
+ "learning_rate": 4.360429701490934e-05,
224
+ "loss": 0.5073,
225
+ "step": 700
226
+ },
227
+ {
228
+ "epoch": 0.7,
229
+ "eval_loss": 0.31275978684425354,
230
+ "eval_runtime": 1.7833,
231
+ "eval_samples_per_second": 2.243,
232
+ "eval_steps_per_second": 0.561,
233
+ "step": 700
234
+ },
235
+ {
236
+ "epoch": 0.72,
237
+ "learning_rate": 3.710991982161555e-05,
238
+ "loss": 0.4778,
239
+ "step": 725
240
+ },
241
+ {
242
+ "epoch": 0.75,
243
+ "learning_rate": 3.102762227218957e-05,
244
+ "loss": 0.5454,
245
+ "step": 750
246
+ },
247
+ {
248
+ "epoch": 0.78,
249
+ "learning_rate": 2.5397257885675397e-05,
250
+ "loss": 0.5612,
251
+ "step": 775
252
+ },
253
+ {
254
+ "epoch": 0.8,
255
+ "learning_rate": 2.025571894372794e-05,
256
+ "loss": 0.4983,
257
+ "step": 800
258
+ },
259
+ {
260
+ "epoch": 0.8,
261
+ "eval_loss": 0.31457942724227905,
262
+ "eval_runtime": 1.7821,
263
+ "eval_samples_per_second": 2.245,
264
+ "eval_steps_per_second": 0.561,
265
+ "step": 800
266
+ },
267
+ {
268
+ "epoch": 0.82,
269
+ "learning_rate": 1.563669475839956e-05,
270
+ "loss": 0.4941,
271
+ "step": 825
272
+ },
273
+ {
274
+ "epoch": 0.85,
275
+ "learning_rate": 1.1570450926997655e-05,
276
+ "loss": 0.4926,
277
+ "step": 850
278
+ },
279
+ {
280
+ "epoch": 0.88,
281
+ "learning_rate": 8.083631020418791e-06,
282
+ "loss": 0.5094,
283
+ "step": 875
284
+ },
285
+ {
286
+ "epoch": 0.9,
287
+ "learning_rate": 5.199082004372957e-06,
288
+ "loss": 0.5116,
289
+ "step": 900
290
+ },
291
+ {
292
+ "epoch": 0.9,
293
+ "eval_loss": 0.31357938051223755,
294
+ "eval_runtime": 1.7811,
295
+ "eval_samples_per_second": 2.246,
296
+ "eval_steps_per_second": 0.561,
297
+ "step": 900
298
+ },
299
+ {
300
+ "epoch": 0.93,
301
+ "learning_rate": 2.9357045374040825e-06,
302
+ "loss": 0.4244,
303
+ "step": 925
304
+ },
305
+ {
306
+ "epoch": 0.95,
307
+ "learning_rate": 1.30832912661093e-06,
308
+ "loss": 0.4511,
309
+ "step": 950
310
+ },
311
+ {
312
+ "epoch": 0.97,
313
+ "learning_rate": 3.2761895254306287e-07,
314
+ "loss": 0.4179,
315
+ "step": 975
316
+ },
317
+ {
318
+ "epoch": 1.0,
319
+ "learning_rate": 0.0,
320
+ "loss": 0.4662,
321
+ "step": 1000
322
+ },
323
+ {
324
+ "epoch": 1.0,
325
+ "eval_loss": 0.3136279284954071,
326
+ "eval_runtime": 1.7836,
327
+ "eval_samples_per_second": 2.243,
328
+ "eval_steps_per_second": 0.561,
329
+ "step": 1000
330
+ }
331
+ ],
332
+ "logging_steps": 25,
333
+ "max_steps": 1000,
334
+ "num_input_tokens_seen": 0,
335
+ "num_train_epochs": 9223372036854775807,
336
+ "save_steps": 100,
337
+ "total_flos": 1.493507298557952e+18,
338
+ "train_batch_size": 4,
339
+ "trial_name": null,
340
+ "trial_params": null
341
+ }