Upload folder using huggingface_hub
Browse files- README.md +1 -7
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- 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 |
+
}
|