m4lw4r3exe
commited on
Commit
•
021eaef
1
Parent(s):
8b44b83
End of training
Browse files- pytorch_model.bin +1 -1
- tokenizer_config.json +2 -0
- trainer_state.json +688 -6
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 139279005
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3b7c8819f663fe4a7adc490126b907fbe6357c071df3563631ef43908f2bb223
|
3 |
size 139279005
|
tokenizer_config.json
CHANGED
@@ -1,4 +1,6 @@
|
|
1 |
{
|
2 |
"model_max_length": 1000000000000000019884624838656,
|
|
|
|
|
3 |
"tokenizer_class": "PreTrainedTokenizerFast"
|
4 |
}
|
|
|
1 |
{
|
2 |
"model_max_length": 1000000000000000019884624838656,
|
3 |
+
"name_or_path": "JammyMachina/improved_4bars-mdl",
|
4 |
+
"special_tokens_map_file": "/root/.cache/huggingface/hub/models--JammyMachina--improved_4bars-mdl/snapshots/6498a0943c2a7f99cc4944c22daf716e6de22f38/special_tokens_map.json",
|
5 |
"tokenizer_class": "PreTrainedTokenizerFast"
|
6 |
}
|
trainer_state.json
CHANGED
@@ -1,15 +1,697 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
-
"global_step":
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
-
"log_history": [
|
10 |
-
|
11 |
-
|
12 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
13 |
"trial_name": null,
|
14 |
"trial_params": null
|
15 |
}
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 5.0,
|
5 |
+
"global_step": 49420,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.1,
|
12 |
+
"learning_rate": 4.896398219344395e-05,
|
13 |
+
"loss": 0.2574,
|
14 |
+
"step": 1024
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.1,
|
18 |
+
"eval_loss": 0.7888669967651367,
|
19 |
+
"eval_runtime": 25.6574,
|
20 |
+
"eval_samples_per_second": 81.536,
|
21 |
+
"eval_steps_per_second": 3.43,
|
22 |
+
"step": 1024
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"epoch": 0.21,
|
26 |
+
"learning_rate": 4.79279643868879e-05,
|
27 |
+
"loss": 0.2633,
|
28 |
+
"step": 2048
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 0.21,
|
32 |
+
"eval_loss": 0.780219316482544,
|
33 |
+
"eval_runtime": 25.6023,
|
34 |
+
"eval_samples_per_second": 81.711,
|
35 |
+
"eval_steps_per_second": 3.437,
|
36 |
+
"step": 2048
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.31,
|
40 |
+
"learning_rate": 4.6891946580331854e-05,
|
41 |
+
"loss": 0.2635,
|
42 |
+
"step": 3072
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 0.31,
|
46 |
+
"eval_loss": 0.7877150774002075,
|
47 |
+
"eval_runtime": 25.6162,
|
48 |
+
"eval_samples_per_second": 81.667,
|
49 |
+
"eval_steps_per_second": 3.435,
|
50 |
+
"step": 3072
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.41,
|
54 |
+
"learning_rate": 4.5855928773775804e-05,
|
55 |
+
"loss": 0.2639,
|
56 |
+
"step": 4096
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.41,
|
60 |
+
"eval_loss": 0.7751328945159912,
|
61 |
+
"eval_runtime": 25.6157,
|
62 |
+
"eval_samples_per_second": 81.669,
|
63 |
+
"eval_steps_per_second": 3.435,
|
64 |
+
"step": 4096
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 0.52,
|
68 |
+
"learning_rate": 4.4819910967219755e-05,
|
69 |
+
"loss": 0.2625,
|
70 |
+
"step": 5120
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 0.52,
|
74 |
+
"eval_loss": 0.7836451530456543,
|
75 |
+
"eval_runtime": 25.6812,
|
76 |
+
"eval_samples_per_second": 81.46,
|
77 |
+
"eval_steps_per_second": 3.427,
|
78 |
+
"step": 5120
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 0.62,
|
82 |
+
"learning_rate": 4.3783893160663705e-05,
|
83 |
+
"loss": 0.2609,
|
84 |
+
"step": 6144
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.62,
|
88 |
+
"eval_loss": 0.7758111357688904,
|
89 |
+
"eval_runtime": 25.6349,
|
90 |
+
"eval_samples_per_second": 81.607,
|
91 |
+
"eval_steps_per_second": 3.433,
|
92 |
+
"step": 6144
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.73,
|
96 |
+
"learning_rate": 4.2747875354107656e-05,
|
97 |
+
"loss": 0.2597,
|
98 |
+
"step": 7168
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.73,
|
102 |
+
"eval_loss": 0.7923067212104797,
|
103 |
+
"eval_runtime": 25.6218,
|
104 |
+
"eval_samples_per_second": 81.649,
|
105 |
+
"eval_steps_per_second": 3.435,
|
106 |
+
"step": 7168
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.83,
|
110 |
+
"learning_rate": 4.17118575475516e-05,
|
111 |
+
"loss": 0.2612,
|
112 |
+
"step": 8192
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 0.83,
|
116 |
+
"eval_loss": 0.8000349402427673,
|
117 |
+
"eval_runtime": 25.646,
|
118 |
+
"eval_samples_per_second": 81.572,
|
119 |
+
"eval_steps_per_second": 3.431,
|
120 |
+
"step": 8192
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 0.93,
|
124 |
+
"learning_rate": 4.0676851477134767e-05,
|
125 |
+
"loss": 0.2612,
|
126 |
+
"step": 9216
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.93,
|
130 |
+
"eval_loss": 0.7934667468070984,
|
131 |
+
"eval_runtime": 25.6816,
|
132 |
+
"eval_samples_per_second": 81.459,
|
133 |
+
"eval_steps_per_second": 3.427,
|
134 |
+
"step": 9216
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 1.04,
|
138 |
+
"learning_rate": 3.964083367057872e-05,
|
139 |
+
"loss": 0.2554,
|
140 |
+
"step": 10240
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.04,
|
144 |
+
"eval_loss": 0.7942602038383484,
|
145 |
+
"eval_runtime": 25.7479,
|
146 |
+
"eval_samples_per_second": 81.249,
|
147 |
+
"eval_steps_per_second": 3.418,
|
148 |
+
"step": 10240
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 1.14,
|
152 |
+
"learning_rate": 3.860481586402267e-05,
|
153 |
+
"loss": 0.2524,
|
154 |
+
"step": 11264
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 1.14,
|
158 |
+
"eval_loss": 0.8014633655548096,
|
159 |
+
"eval_runtime": 25.6355,
|
160 |
+
"eval_samples_per_second": 81.606,
|
161 |
+
"eval_steps_per_second": 3.433,
|
162 |
+
"step": 11264
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 1.24,
|
166 |
+
"learning_rate": 3.7569809793605834e-05,
|
167 |
+
"loss": 0.2504,
|
168 |
+
"step": 12288
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 1.24,
|
172 |
+
"eval_loss": 0.7962351441383362,
|
173 |
+
"eval_runtime": 25.6019,
|
174 |
+
"eval_samples_per_second": 81.713,
|
175 |
+
"eval_steps_per_second": 3.437,
|
176 |
+
"step": 12288
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 1.35,
|
180 |
+
"learning_rate": 3.653379198704978e-05,
|
181 |
+
"loss": 0.2524,
|
182 |
+
"step": 13312
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 1.35,
|
186 |
+
"eval_loss": 0.8086119294166565,
|
187 |
+
"eval_runtime": 25.7264,
|
188 |
+
"eval_samples_per_second": 81.317,
|
189 |
+
"eval_steps_per_second": 3.421,
|
190 |
+
"step": 13312
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 1.45,
|
194 |
+
"learning_rate": 3.549777418049373e-05,
|
195 |
+
"loss": 0.2521,
|
196 |
+
"step": 14336
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 1.45,
|
200 |
+
"eval_loss": 0.8062009215354919,
|
201 |
+
"eval_runtime": 25.6245,
|
202 |
+
"eval_samples_per_second": 81.641,
|
203 |
+
"eval_steps_per_second": 3.434,
|
204 |
+
"step": 14336
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.55,
|
208 |
+
"learning_rate": 3.446175637393768e-05,
|
209 |
+
"loss": 0.2503,
|
210 |
+
"step": 15360
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 1.55,
|
214 |
+
"eval_loss": 0.7997719049453735,
|
215 |
+
"eval_runtime": 25.6588,
|
216 |
+
"eval_samples_per_second": 81.532,
|
217 |
+
"eval_steps_per_second": 3.43,
|
218 |
+
"step": 15360
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 1.66,
|
222 |
+
"learning_rate": 3.3426750303520846e-05,
|
223 |
+
"loss": 0.2523,
|
224 |
+
"step": 16384
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 1.66,
|
228 |
+
"eval_loss": 0.8097875118255615,
|
229 |
+
"eval_runtime": 25.6111,
|
230 |
+
"eval_samples_per_second": 81.683,
|
231 |
+
"eval_steps_per_second": 3.436,
|
232 |
+
"step": 16384
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 1.76,
|
236 |
+
"learning_rate": 3.239073249696479e-05,
|
237 |
+
"loss": 0.251,
|
238 |
+
"step": 17408
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 1.76,
|
242 |
+
"eval_loss": 0.8213343620300293,
|
243 |
+
"eval_runtime": 25.6868,
|
244 |
+
"eval_samples_per_second": 81.443,
|
245 |
+
"eval_steps_per_second": 3.426,
|
246 |
+
"step": 17408
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 1.86,
|
250 |
+
"learning_rate": 3.135572642654796e-05,
|
251 |
+
"loss": 0.2509,
|
252 |
+
"step": 18432
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 1.86,
|
256 |
+
"eval_loss": 0.8137653470039368,
|
257 |
+
"eval_runtime": 25.6223,
|
258 |
+
"eval_samples_per_second": 81.648,
|
259 |
+
"eval_steps_per_second": 3.435,
|
260 |
+
"step": 18432
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 1.97,
|
264 |
+
"learning_rate": 3.031970861999191e-05,
|
265 |
+
"loss": 0.2533,
|
266 |
+
"step": 19456
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 1.97,
|
270 |
+
"eval_loss": 0.8182128071784973,
|
271 |
+
"eval_runtime": 25.6272,
|
272 |
+
"eval_samples_per_second": 81.632,
|
273 |
+
"eval_steps_per_second": 3.434,
|
274 |
+
"step": 19456
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"epoch": 2.07,
|
278 |
+
"learning_rate": 2.928369081343586e-05,
|
279 |
+
"loss": 0.245,
|
280 |
+
"step": 20480
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 2.07,
|
284 |
+
"eval_loss": 0.8290057182312012,
|
285 |
+
"eval_runtime": 25.6288,
|
286 |
+
"eval_samples_per_second": 81.627,
|
287 |
+
"eval_steps_per_second": 3.434,
|
288 |
+
"step": 20480
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 2.18,
|
292 |
+
"learning_rate": 2.824868474301902e-05,
|
293 |
+
"loss": 0.2432,
|
294 |
+
"step": 21504
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 2.18,
|
298 |
+
"eval_loss": 0.8328016400337219,
|
299 |
+
"eval_runtime": 25.7111,
|
300 |
+
"eval_samples_per_second": 81.366,
|
301 |
+
"eval_steps_per_second": 3.423,
|
302 |
+
"step": 21504
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 2.28,
|
306 |
+
"learning_rate": 2.7212666936462972e-05,
|
307 |
+
"loss": 0.2435,
|
308 |
+
"step": 22528
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 2.28,
|
312 |
+
"eval_loss": 0.8186773657798767,
|
313 |
+
"eval_runtime": 25.61,
|
314 |
+
"eval_samples_per_second": 81.687,
|
315 |
+
"eval_steps_per_second": 3.436,
|
316 |
+
"step": 22528
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 2.38,
|
320 |
+
"learning_rate": 2.617766086604614e-05,
|
321 |
+
"loss": 0.2423,
|
322 |
+
"step": 23552
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 2.38,
|
326 |
+
"eval_loss": 0.8238145112991333,
|
327 |
+
"eval_runtime": 25.6287,
|
328 |
+
"eval_samples_per_second": 81.627,
|
329 |
+
"eval_steps_per_second": 3.434,
|
330 |
+
"step": 23552
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 2.49,
|
334 |
+
"learning_rate": 2.51426547956293e-05,
|
335 |
+
"loss": 0.2443,
|
336 |
+
"step": 24576
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 2.49,
|
340 |
+
"eval_loss": 0.8248941898345947,
|
341 |
+
"eval_runtime": 25.6771,
|
342 |
+
"eval_samples_per_second": 81.473,
|
343 |
+
"eval_steps_per_second": 3.427,
|
344 |
+
"step": 24576
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 2.59,
|
348 |
+
"learning_rate": 2.410663698907325e-05,
|
349 |
+
"loss": 0.2431,
|
350 |
+
"step": 25600
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 2.59,
|
354 |
+
"eval_loss": 0.8253324031829834,
|
355 |
+
"eval_runtime": 25.6574,
|
356 |
+
"eval_samples_per_second": 81.536,
|
357 |
+
"eval_steps_per_second": 3.43,
|
358 |
+
"step": 25600
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 2.69,
|
362 |
+
"learning_rate": 2.30706191825172e-05,
|
363 |
+
"loss": 0.2432,
|
364 |
+
"step": 26624
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 2.69,
|
368 |
+
"eval_loss": 0.8268725275993347,
|
369 |
+
"eval_runtime": 25.6215,
|
370 |
+
"eval_samples_per_second": 81.65,
|
371 |
+
"eval_steps_per_second": 3.435,
|
372 |
+
"step": 26624
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 2.8,
|
376 |
+
"learning_rate": 2.203460137596115e-05,
|
377 |
+
"loss": 0.2421,
|
378 |
+
"step": 27648
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 2.8,
|
382 |
+
"eval_loss": 0.8282283544540405,
|
383 |
+
"eval_runtime": 25.6027,
|
384 |
+
"eval_samples_per_second": 81.71,
|
385 |
+
"eval_steps_per_second": 3.437,
|
386 |
+
"step": 27648
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 2.9,
|
390 |
+
"learning_rate": 2.09985835694051e-05,
|
391 |
+
"loss": 0.2421,
|
392 |
+
"step": 28672
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 2.9,
|
396 |
+
"eval_loss": 0.8267728686332703,
|
397 |
+
"eval_runtime": 25.6314,
|
398 |
+
"eval_samples_per_second": 81.619,
|
399 |
+
"eval_steps_per_second": 3.433,
|
400 |
+
"step": 28672
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 3.0,
|
404 |
+
"learning_rate": 1.9963577498988265e-05,
|
405 |
+
"loss": 0.243,
|
406 |
+
"step": 29696
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 3.0,
|
410 |
+
"eval_loss": 0.8345196843147278,
|
411 |
+
"eval_runtime": 25.6765,
|
412 |
+
"eval_samples_per_second": 81.475,
|
413 |
+
"eval_steps_per_second": 3.427,
|
414 |
+
"step": 29696
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 3.11,
|
418 |
+
"learning_rate": 1.8927559692432215e-05,
|
419 |
+
"loss": 0.2367,
|
420 |
+
"step": 30720
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 3.11,
|
424 |
+
"eval_loss": 0.8424174189567566,
|
425 |
+
"eval_runtime": 25.634,
|
426 |
+
"eval_samples_per_second": 81.61,
|
427 |
+
"eval_steps_per_second": 3.433,
|
428 |
+
"step": 30720
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 3.21,
|
432 |
+
"learning_rate": 1.789255362201538e-05,
|
433 |
+
"loss": 0.237,
|
434 |
+
"step": 31744
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 3.21,
|
438 |
+
"eval_loss": 0.8373659253120422,
|
439 |
+
"eval_runtime": 25.5978,
|
440 |
+
"eval_samples_per_second": 81.726,
|
441 |
+
"eval_steps_per_second": 3.438,
|
442 |
+
"step": 31744
|
443 |
+
},
|
444 |
+
{
|
445 |
+
"epoch": 3.32,
|
446 |
+
"learning_rate": 1.6857547551598542e-05,
|
447 |
+
"loss": 0.2351,
|
448 |
+
"step": 32768
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 3.32,
|
452 |
+
"eval_loss": 0.8430664539337158,
|
453 |
+
"eval_runtime": 25.6675,
|
454 |
+
"eval_samples_per_second": 81.504,
|
455 |
+
"eval_steps_per_second": 3.428,
|
456 |
+
"step": 32768
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 3.42,
|
460 |
+
"learning_rate": 1.5821529745042493e-05,
|
461 |
+
"loss": 0.2374,
|
462 |
+
"step": 33792
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 3.42,
|
466 |
+
"eval_loss": 0.8425076603889465,
|
467 |
+
"eval_runtime": 25.7071,
|
468 |
+
"eval_samples_per_second": 81.378,
|
469 |
+
"eval_steps_per_second": 3.423,
|
470 |
+
"step": 33792
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 3.52,
|
474 |
+
"learning_rate": 1.4786523674625658e-05,
|
475 |
+
"loss": 0.2355,
|
476 |
+
"step": 34816
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 3.52,
|
480 |
+
"eval_loss": 0.8351919054985046,
|
481 |
+
"eval_runtime": 25.6245,
|
482 |
+
"eval_samples_per_second": 81.641,
|
483 |
+
"eval_steps_per_second": 3.434,
|
484 |
+
"step": 34816
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 3.63,
|
488 |
+
"learning_rate": 1.3750505868069607e-05,
|
489 |
+
"loss": 0.2373,
|
490 |
+
"step": 35840
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 3.63,
|
494 |
+
"eval_loss": 0.845241904258728,
|
495 |
+
"eval_runtime": 25.6392,
|
496 |
+
"eval_samples_per_second": 81.594,
|
497 |
+
"eval_steps_per_second": 3.432,
|
498 |
+
"step": 35840
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 3.73,
|
502 |
+
"learning_rate": 1.2714488061513558e-05,
|
503 |
+
"loss": 0.2356,
|
504 |
+
"step": 36864
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 3.73,
|
508 |
+
"eval_loss": 0.8382672071456909,
|
509 |
+
"eval_runtime": 25.6391,
|
510 |
+
"eval_samples_per_second": 81.594,
|
511 |
+
"eval_steps_per_second": 3.432,
|
512 |
+
"step": 36864
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 3.83,
|
516 |
+
"learning_rate": 1.1678470254957508e-05,
|
517 |
+
"loss": 0.2343,
|
518 |
+
"step": 37888
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 3.83,
|
522 |
+
"eval_loss": 0.8443974852561951,
|
523 |
+
"eval_runtime": 25.7018,
|
524 |
+
"eval_samples_per_second": 81.395,
|
525 |
+
"eval_steps_per_second": 3.424,
|
526 |
+
"step": 37888
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 3.94,
|
530 |
+
"learning_rate": 1.0642452448401457e-05,
|
531 |
+
"loss": 0.2348,
|
532 |
+
"step": 38912
|
533 |
+
},
|
534 |
+
{
|
535 |
+
"epoch": 3.94,
|
536 |
+
"eval_loss": 0.8427897095680237,
|
537 |
+
"eval_runtime": 25.6146,
|
538 |
+
"eval_samples_per_second": 81.672,
|
539 |
+
"eval_steps_per_second": 3.436,
|
540 |
+
"step": 38912
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 4.04,
|
544 |
+
"learning_rate": 9.606434641845407e-06,
|
545 |
+
"loss": 0.2349,
|
546 |
+
"step": 39936
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 4.04,
|
550 |
+
"eval_loss": 0.8479835987091064,
|
551 |
+
"eval_runtime": 25.6232,
|
552 |
+
"eval_samples_per_second": 81.645,
|
553 |
+
"eval_steps_per_second": 3.434,
|
554 |
+
"step": 39936
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 4.14,
|
558 |
+
"learning_rate": 8.571428571428573e-06,
|
559 |
+
"loss": 0.2327,
|
560 |
+
"step": 40960
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 4.14,
|
564 |
+
"eval_loss": 0.8481870889663696,
|
565 |
+
"eval_runtime": 25.6261,
|
566 |
+
"eval_samples_per_second": 81.636,
|
567 |
+
"eval_steps_per_second": 3.434,
|
568 |
+
"step": 40960
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 4.25,
|
572 |
+
"learning_rate": 7.536422501011736e-06,
|
573 |
+
"loss": 0.2337,
|
574 |
+
"step": 41984
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 4.25,
|
578 |
+
"eval_loss": 0.850956916809082,
|
579 |
+
"eval_runtime": 25.6867,
|
580 |
+
"eval_samples_per_second": 81.443,
|
581 |
+
"eval_steps_per_second": 3.426,
|
582 |
+
"step": 41984
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 4.35,
|
586 |
+
"learning_rate": 6.500404694455686e-06,
|
587 |
+
"loss": 0.2288,
|
588 |
+
"step": 43008
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 4.35,
|
592 |
+
"eval_loss": 0.8499058485031128,
|
593 |
+
"eval_runtime": 25.6219,
|
594 |
+
"eval_samples_per_second": 81.649,
|
595 |
+
"eval_steps_per_second": 3.435,
|
596 |
+
"step": 43008
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 4.45,
|
600 |
+
"learning_rate": 5.464386887899636e-06,
|
601 |
+
"loss": 0.2299,
|
602 |
+
"step": 44032
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 4.45,
|
606 |
+
"eval_loss": 0.8522343039512634,
|
607 |
+
"eval_runtime": 25.6037,
|
608 |
+
"eval_samples_per_second": 81.707,
|
609 |
+
"eval_steps_per_second": 3.437,
|
610 |
+
"step": 44032
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 4.56,
|
614 |
+
"learning_rate": 4.429380817482801e-06,
|
615 |
+
"loss": 0.2277,
|
616 |
+
"step": 45056
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 4.56,
|
620 |
+
"eval_loss": 0.85256427526474,
|
621 |
+
"eval_runtime": 25.6116,
|
622 |
+
"eval_samples_per_second": 81.682,
|
623 |
+
"eval_steps_per_second": 3.436,
|
624 |
+
"step": 45056
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 4.66,
|
628 |
+
"learning_rate": 3.3933630109267505e-06,
|
629 |
+
"loss": 0.2301,
|
630 |
+
"step": 46080
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 4.66,
|
634 |
+
"eval_loss": 0.851773202419281,
|
635 |
+
"eval_runtime": 25.6644,
|
636 |
+
"eval_samples_per_second": 81.514,
|
637 |
+
"eval_steps_per_second": 3.429,
|
638 |
+
"step": 46080
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 4.77,
|
642 |
+
"learning_rate": 2.3573452043707e-06,
|
643 |
+
"loss": 0.2312,
|
644 |
+
"step": 47104
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 4.77,
|
648 |
+
"eval_loss": 0.8511470556259155,
|
649 |
+
"eval_runtime": 25.6121,
|
650 |
+
"eval_samples_per_second": 81.68,
|
651 |
+
"eval_steps_per_second": 3.436,
|
652 |
+
"step": 47104
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 4.87,
|
656 |
+
"learning_rate": 1.32132739781465e-06,
|
657 |
+
"loss": 0.2284,
|
658 |
+
"step": 48128
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 4.87,
|
662 |
+
"eval_loss": 0.8506836295127869,
|
663 |
+
"eval_runtime": 25.6413,
|
664 |
+
"eval_samples_per_second": 81.587,
|
665 |
+
"eval_steps_per_second": 3.432,
|
666 |
+
"step": 48128
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 4.97,
|
670 |
+
"learning_rate": 2.8632132739781467e-07,
|
671 |
+
"loss": 0.2294,
|
672 |
+
"step": 49152
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 4.97,
|
676 |
+
"eval_loss": 0.8519254922866821,
|
677 |
+
"eval_runtime": 25.6136,
|
678 |
+
"eval_samples_per_second": 81.675,
|
679 |
+
"eval_steps_per_second": 3.436,
|
680 |
+
"step": 49152
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 5.0,
|
684 |
+
"step": 49420,
|
685 |
+
"total_flos": 3.1008084491562394e+17,
|
686 |
+
"train_loss": 0.244437825115332,
|
687 |
+
"train_runtime": 40418.7139,
|
688 |
+
"train_samples_per_second": 25.676,
|
689 |
+
"train_steps_per_second": 1.223
|
690 |
+
}
|
691 |
+
],
|
692 |
+
"max_steps": 49420,
|
693 |
+
"num_train_epochs": 5,
|
694 |
+
"total_flos": 3.1008084491562394e+17,
|
695 |
"trial_name": null,
|
696 |
"trial_params": null
|
697 |
}
|