Model save
Browse files- README.md +2 -2
- all_results.json +7 -7
- train_results.json +7 -7
- trainer_state.json +253 -21
README.md
CHANGED
@@ -43,8 +43,8 @@ The following hyperparameters were used during training:
|
|
43 |
- seed: 42
|
44 |
- distributed_type: multi-GPU
|
45 |
- num_devices: 4
|
46 |
-
- gradient_accumulation_steps:
|
47 |
-
- total_train_batch_size:
|
48 |
- total_eval_batch_size: 8
|
49 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
50 |
- lr_scheduler_type: cosine
|
|
|
43 |
- seed: 42
|
44 |
- distributed_type: multi-GPU
|
45 |
- num_devices: 4
|
46 |
+
- gradient_accumulation_steps: 4
|
47 |
+
- total_train_batch_size: 64
|
48 |
- total_eval_batch_size: 8
|
49 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
50 |
- lr_scheduler_type: cosine
|
all_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples":
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 2.938775510204082,
|
3 |
+
"total_flos": 17029109121024.0,
|
4 |
+
"train_loss": 0.5480542282263438,
|
5 |
+
"train_runtime": 761.6539,
|
6 |
+
"train_samples": 7473,
|
7 |
+
"train_samples_per_second": 3.08,
|
8 |
+
"train_steps_per_second": 0.047
|
9 |
}
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples":
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 2.938775510204082,
|
3 |
+
"total_flos": 17029109121024.0,
|
4 |
+
"train_loss": 0.5480542282263438,
|
5 |
+
"train_runtime": 761.6539,
|
6 |
+
"train_samples": 7473,
|
7 |
+
"train_samples_per_second": 3.08,
|
8 |
+
"train_steps_per_second": 0.047
|
9 |
}
|
trainer_state.json
CHANGED
@@ -1,45 +1,277 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch":
|
13 |
-
"
|
14 |
-
"
|
|
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
-
"epoch":
|
19 |
-
"grad_norm":
|
20 |
"learning_rate": 1e-05,
|
21 |
-
"loss":
|
22 |
"step": 2
|
23 |
},
|
24 |
{
|
25 |
-
"epoch":
|
26 |
-
"grad_norm":
|
27 |
-
"learning_rate":
|
28 |
-
"loss": 0.
|
29 |
"step": 3
|
30 |
},
|
31 |
{
|
32 |
-
"epoch":
|
33 |
-
"
|
34 |
-
"
|
35 |
-
"
|
36 |
-
"
|
37 |
-
|
38 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
39 |
}
|
40 |
],
|
41 |
"logging_steps": 1,
|
42 |
-
"max_steps":
|
43 |
"num_input_tokens_seen": 0,
|
44 |
"num_train_epochs": 3,
|
45 |
"save_steps": 999999,
|
@@ -55,7 +287,7 @@
|
|
55 |
"attributes": {}
|
56 |
}
|
57 |
},
|
58 |
-
"total_flos":
|
59 |
"train_batch_size": 4,
|
60 |
"trial_name": null,
|
61 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.938775510204082,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 36,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.08163265306122448,
|
13 |
+
"grad_norm": 12.871264777961246,
|
14 |
+
"learning_rate": 5e-06,
|
15 |
+
"loss": 1.0334,
|
16 |
"step": 1
|
17 |
},
|
18 |
{
|
19 |
+
"epoch": 0.16326530612244897,
|
20 |
+
"grad_norm": 12.879485643828415,
|
21 |
"learning_rate": 1e-05,
|
22 |
+
"loss": 1.0411,
|
23 |
"step": 2
|
24 |
},
|
25 |
{
|
26 |
+
"epoch": 0.24489795918367346,
|
27 |
+
"grad_norm": 5.758679119848915,
|
28 |
+
"learning_rate": 1.5000000000000002e-05,
|
29 |
+
"loss": 0.8346,
|
30 |
"step": 3
|
31 |
},
|
32 |
{
|
33 |
+
"epoch": 0.32653061224489793,
|
34 |
+
"grad_norm": 5.732568718456503,
|
35 |
+
"learning_rate": 2e-05,
|
36 |
+
"loss": 0.7962,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.40816326530612246,
|
41 |
+
"grad_norm": 2.8475781014063286,
|
42 |
+
"learning_rate": 1.995184726672197e-05,
|
43 |
+
"loss": 0.7126,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.4897959183673469,
|
48 |
+
"grad_norm": 7.835179324031208,
|
49 |
+
"learning_rate": 1.9807852804032306e-05,
|
50 |
+
"loss": 0.904,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.5714285714285714,
|
55 |
+
"grad_norm": 6.113481875959908,
|
56 |
+
"learning_rate": 1.956940335732209e-05,
|
57 |
+
"loss": 0.7776,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.6530612244897959,
|
62 |
+
"grad_norm": 2.349354822354672,
|
63 |
+
"learning_rate": 1.9238795325112867e-05,
|
64 |
+
"loss": 0.7284,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.7346938775510204,
|
69 |
+
"grad_norm": 1.579653340304688,
|
70 |
+
"learning_rate": 1.881921264348355e-05,
|
71 |
+
"loss": 0.6916,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.8163265306122449,
|
76 |
+
"grad_norm": 1.4021343131954482,
|
77 |
+
"learning_rate": 1.8314696123025456e-05,
|
78 |
+
"loss": 0.6583,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.8979591836734694,
|
83 |
+
"grad_norm": 1.1807754387171556,
|
84 |
+
"learning_rate": 1.773010453362737e-05,
|
85 |
+
"loss": 0.6475,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.9795918367346939,
|
90 |
+
"grad_norm": 1.1614963968104302,
|
91 |
+
"learning_rate": 1.7071067811865477e-05,
|
92 |
+
"loss": 0.6229,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 1.0612244897959184,
|
97 |
+
"grad_norm": 1.128917404557287,
|
98 |
+
"learning_rate": 1.6343932841636455e-05,
|
99 |
+
"loss": 0.57,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 1.1428571428571428,
|
104 |
+
"grad_norm": 0.8876639818635172,
|
105 |
+
"learning_rate": 1.5555702330196024e-05,
|
106 |
+
"loss": 0.5341,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 1.2244897959183674,
|
111 |
+
"grad_norm": 0.9997328188865856,
|
112 |
+
"learning_rate": 1.4713967368259981e-05,
|
113 |
+
"loss": 0.5163,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 1.306122448979592,
|
118 |
+
"grad_norm": 0.9067476498467109,
|
119 |
+
"learning_rate": 1.3826834323650899e-05,
|
120 |
+
"loss": 0.5097,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 1.3877551020408163,
|
125 |
+
"grad_norm": 0.8513924391122798,
|
126 |
+
"learning_rate": 1.2902846772544625e-05,
|
127 |
+
"loss": 0.5065,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 1.469387755102041,
|
132 |
+
"grad_norm": 0.8831816847725055,
|
133 |
+
"learning_rate": 1.1950903220161286e-05,
|
134 |
+
"loss": 0.4946,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 1.5510204081632653,
|
139 |
+
"grad_norm": 0.8139866475964539,
|
140 |
+
"learning_rate": 1.098017140329561e-05,
|
141 |
+
"loss": 0.4947,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 1.6326530612244898,
|
146 |
+
"grad_norm": 0.7341998608817863,
|
147 |
+
"learning_rate": 1e-05,
|
148 |
+
"loss": 0.4791,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.7142857142857144,
|
153 |
+
"grad_norm": 0.7598602977041824,
|
154 |
+
"learning_rate": 9.019828596704394e-06,
|
155 |
+
"loss": 0.4908,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.7959183673469388,
|
160 |
+
"grad_norm": 0.7075477867390706,
|
161 |
+
"learning_rate": 8.04909677983872e-06,
|
162 |
+
"loss": 0.4792,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 1.8775510204081631,
|
167 |
+
"grad_norm": 0.6719521698836661,
|
168 |
+
"learning_rate": 7.097153227455379e-06,
|
169 |
+
"loss": 0.4763,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 1.9591836734693877,
|
174 |
+
"grad_norm": 0.6830946946064212,
|
175 |
+
"learning_rate": 6.173165676349103e-06,
|
176 |
+
"loss": 0.4807,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 2.0408163265306123,
|
181 |
+
"grad_norm": 0.7628156550515836,
|
182 |
+
"learning_rate": 5.286032631740023e-06,
|
183 |
+
"loss": 0.4347,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 2.122448979591837,
|
188 |
+
"grad_norm": 0.9800830997160824,
|
189 |
+
"learning_rate": 4.444297669803981e-06,
|
190 |
+
"loss": 0.3682,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 2.204081632653061,
|
195 |
+
"grad_norm": 0.8438420954533535,
|
196 |
+
"learning_rate": 3.6560671583635467e-06,
|
197 |
+
"loss": 0.3713,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 2.2857142857142856,
|
202 |
+
"grad_norm": 0.7540847452922566,
|
203 |
+
"learning_rate": 2.9289321881345257e-06,
|
204 |
+
"loss": 0.354,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 2.36734693877551,
|
209 |
+
"grad_norm": 0.7383497973747206,
|
210 |
+
"learning_rate": 2.26989546637263e-06,
|
211 |
+
"loss": 0.3506,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 2.4489795918367347,
|
216 |
+
"grad_norm": 0.7441143965623213,
|
217 |
+
"learning_rate": 1.6853038769745466e-06,
|
218 |
+
"loss": 0.349,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 2.5306122448979593,
|
223 |
+
"grad_norm": 0.7973081129823184,
|
224 |
+
"learning_rate": 1.1807873565164507e-06,
|
225 |
+
"loss": 0.3393,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 2.612244897959184,
|
230 |
+
"grad_norm": 0.8432676382740615,
|
231 |
+
"learning_rate": 7.612046748871327e-07,
|
232 |
+
"loss": 0.3389,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 2.693877551020408,
|
237 |
+
"grad_norm": 0.8547630649684965,
|
238 |
+
"learning_rate": 4.305966426779118e-07,
|
239 |
+
"loss": 0.3508,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 2.7755102040816326,
|
244 |
+
"grad_norm": 0.8293429149325029,
|
245 |
+
"learning_rate": 1.921471959676957e-07,
|
246 |
+
"loss": 0.3346,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 2.857142857142857,
|
251 |
+
"grad_norm": 0.8148052667107787,
|
252 |
+
"learning_rate": 4.815273327803183e-08,
|
253 |
+
"loss": 0.3251,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 2.938775510204082,
|
258 |
+
"grad_norm": 0.8381390002935672,
|
259 |
+
"learning_rate": 0.0,
|
260 |
+
"loss": 0.3332,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 2.938775510204082,
|
265 |
+
"step": 36,
|
266 |
+
"total_flos": 17029109121024.0,
|
267 |
+
"train_loss": 0.5480542282263438,
|
268 |
+
"train_runtime": 761.6539,
|
269 |
+
"train_samples_per_second": 3.08,
|
270 |
+
"train_steps_per_second": 0.047
|
271 |
}
|
272 |
],
|
273 |
"logging_steps": 1,
|
274 |
+
"max_steps": 36,
|
275 |
"num_input_tokens_seen": 0,
|
276 |
"num_train_epochs": 3,
|
277 |
"save_steps": 999999,
|
|
|
287 |
"attributes": {}
|
288 |
}
|
289 |
},
|
290 |
+
"total_flos": 17029109121024.0,
|
291 |
"train_batch_size": 4,
|
292 |
"trial_name": null,
|
293 |
"trial_params": null
|