tiagoblima
commited on
Commit
•
26fd6de
1
Parent(s):
a3d1ba4
End of training
Browse files- README.md +4 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +548 -0
README.md
CHANGED
@@ -3,6 +3,8 @@ license: mit
|
|
3 |
base_model: unicamp-dl/ptt5-base-t5-vocab
|
4 |
tags:
|
5 |
- generated_from_trainer
|
|
|
|
|
6 |
model-index:
|
7 |
- name: t5_base-qg-ap-test
|
8 |
results: []
|
@@ -13,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
13 |
|
14 |
# t5_base-qg-ap-test
|
15 |
|
16 |
-
This model is a fine-tuned version of [unicamp-dl/ptt5-base-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-base-t5-vocab) on
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Loss: 1.
|
19 |
|
20 |
## Model description
|
21 |
|
|
|
3 |
base_model: unicamp-dl/ptt5-base-t5-vocab
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- tiagoblima/qg_squad_v1_pt
|
8 |
model-index:
|
9 |
- name: t5_base-qg-ap-test
|
10 |
results: []
|
|
|
15 |
|
16 |
# t5_base-qg-ap-test
|
17 |
|
18 |
+
This model is a fine-tuned version of [unicamp-dl/ptt5-base-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-base-t5-vocab) on the tiagoblima/qg_squad_v1_pt dataset.
|
19 |
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 1.1012
|
21 |
|
22 |
## Model description
|
23 |
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_loss": 1.1012225151062012,
|
4 |
+
"eval_runtime": 102.3632,
|
5 |
+
"eval_samples": 3636,
|
6 |
+
"eval_samples_per_second": 35.521,
|
7 |
+
"eval_steps_per_second": 8.88,
|
8 |
+
"train_loss": 0.9537819692403964,
|
9 |
+
"train_runtime": 26215.2524,
|
10 |
+
"train_samples": 51704,
|
11 |
+
"train_samples_per_second": 9.861,
|
12 |
+
"train_steps_per_second": 0.308
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"eval_loss": 1.1012225151062012,
|
4 |
+
"eval_runtime": 102.3632,
|
5 |
+
"eval_samples": 3636,
|
6 |
+
"eval_samples_per_second": 35.521,
|
7 |
+
"eval_steps_per_second": 8.88
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"train_loss": 0.9537819692403964,
|
4 |
+
"train_runtime": 26215.2524,
|
5 |
+
"train_samples": 51704,
|
6 |
+
"train_samples_per_second": 9.861,
|
7 |
+
"train_steps_per_second": 0.308
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,548 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.1012225151062012,
|
3 |
+
"best_model_checkpoint": "/temp/t5_base-qg-ap-test/checkpoint-6464",
|
4 |
+
"epoch": 5.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 8080,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.06,
|
13 |
+
"learning_rate": 9.876237623762377e-05,
|
14 |
+
"loss": 1.9841,
|
15 |
+
"step": 100
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.12,
|
19 |
+
"learning_rate": 9.752475247524753e-05,
|
20 |
+
"loss": 1.2569,
|
21 |
+
"step": 200
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.19,
|
25 |
+
"learning_rate": 9.628712871287129e-05,
|
26 |
+
"loss": 1.2054,
|
27 |
+
"step": 300
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.25,
|
31 |
+
"learning_rate": 9.504950495049505e-05,
|
32 |
+
"loss": 1.1704,
|
33 |
+
"step": 400
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.31,
|
37 |
+
"learning_rate": 9.381188118811881e-05,
|
38 |
+
"loss": 1.1504,
|
39 |
+
"step": 500
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.37,
|
43 |
+
"learning_rate": 9.257425742574259e-05,
|
44 |
+
"loss": 1.14,
|
45 |
+
"step": 600
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.43,
|
49 |
+
"learning_rate": 9.133663366336635e-05,
|
50 |
+
"loss": 1.1303,
|
51 |
+
"step": 700
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.5,
|
55 |
+
"learning_rate": 9.009900990099011e-05,
|
56 |
+
"loss": 1.1022,
|
57 |
+
"step": 800
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.56,
|
61 |
+
"learning_rate": 8.886138613861387e-05,
|
62 |
+
"loss": 1.0985,
|
63 |
+
"step": 900
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.62,
|
67 |
+
"learning_rate": 8.762376237623763e-05,
|
68 |
+
"loss": 1.0944,
|
69 |
+
"step": 1000
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.68,
|
73 |
+
"learning_rate": 8.638613861386139e-05,
|
74 |
+
"loss": 1.0762,
|
75 |
+
"step": 1100
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.74,
|
79 |
+
"learning_rate": 8.514851485148515e-05,
|
80 |
+
"loss": 1.0784,
|
81 |
+
"step": 1200
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.8,
|
85 |
+
"learning_rate": 8.391089108910891e-05,
|
86 |
+
"loss": 1.076,
|
87 |
+
"step": 1300
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.87,
|
91 |
+
"learning_rate": 8.267326732673268e-05,
|
92 |
+
"loss": 1.0672,
|
93 |
+
"step": 1400
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.93,
|
97 |
+
"learning_rate": 8.143564356435644e-05,
|
98 |
+
"loss": 1.0673,
|
99 |
+
"step": 1500
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.99,
|
103 |
+
"learning_rate": 8.019801980198021e-05,
|
104 |
+
"loss": 1.0561,
|
105 |
+
"step": 1600
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 1.0,
|
109 |
+
"eval_loss": 1.1370612382888794,
|
110 |
+
"eval_runtime": 102.4778,
|
111 |
+
"eval_samples_per_second": 35.481,
|
112 |
+
"eval_steps_per_second": 8.87,
|
113 |
+
"step": 1616
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 1.05,
|
117 |
+
"learning_rate": 7.896039603960397e-05,
|
118 |
+
"loss": 0.989,
|
119 |
+
"step": 1700
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 1.11,
|
123 |
+
"learning_rate": 7.772277227722773e-05,
|
124 |
+
"loss": 0.9881,
|
125 |
+
"step": 1800
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 1.18,
|
129 |
+
"learning_rate": 7.64851485148515e-05,
|
130 |
+
"loss": 0.987,
|
131 |
+
"step": 1900
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.24,
|
135 |
+
"learning_rate": 7.524752475247526e-05,
|
136 |
+
"loss": 0.9849,
|
137 |
+
"step": 2000
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 1.3,
|
141 |
+
"learning_rate": 7.400990099009902e-05,
|
142 |
+
"loss": 0.9807,
|
143 |
+
"step": 2100
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 1.36,
|
147 |
+
"learning_rate": 7.277227722772278e-05,
|
148 |
+
"loss": 0.9784,
|
149 |
+
"step": 2200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.42,
|
153 |
+
"learning_rate": 7.153465346534654e-05,
|
154 |
+
"loss": 0.9868,
|
155 |
+
"step": 2300
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 1.49,
|
159 |
+
"learning_rate": 7.02970297029703e-05,
|
160 |
+
"loss": 0.9792,
|
161 |
+
"step": 2400
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 1.55,
|
165 |
+
"learning_rate": 6.905940594059406e-05,
|
166 |
+
"loss": 0.988,
|
167 |
+
"step": 2500
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 1.61,
|
171 |
+
"learning_rate": 6.782178217821783e-05,
|
172 |
+
"loss": 0.9806,
|
173 |
+
"step": 2600
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 1.67,
|
177 |
+
"learning_rate": 6.658415841584159e-05,
|
178 |
+
"loss": 0.9612,
|
179 |
+
"step": 2700
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.73,
|
183 |
+
"learning_rate": 6.534653465346535e-05,
|
184 |
+
"loss": 0.9632,
|
185 |
+
"step": 2800
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 1.79,
|
189 |
+
"learning_rate": 6.410891089108911e-05,
|
190 |
+
"loss": 0.9861,
|
191 |
+
"step": 2900
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.86,
|
195 |
+
"learning_rate": 6.287128712871287e-05,
|
196 |
+
"loss": 0.968,
|
197 |
+
"step": 3000
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 1.92,
|
201 |
+
"learning_rate": 6.163366336633663e-05,
|
202 |
+
"loss": 0.9727,
|
203 |
+
"step": 3100
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 1.98,
|
207 |
+
"learning_rate": 6.03960396039604e-05,
|
208 |
+
"loss": 0.9695,
|
209 |
+
"step": 3200
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 2.0,
|
213 |
+
"eval_loss": 1.1089671850204468,
|
214 |
+
"eval_runtime": 102.4537,
|
215 |
+
"eval_samples_per_second": 35.489,
|
216 |
+
"eval_steps_per_second": 8.872,
|
217 |
+
"step": 3232
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 2.04,
|
221 |
+
"learning_rate": 5.915841584158416e-05,
|
222 |
+
"loss": 0.9333,
|
223 |
+
"step": 3300
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 2.1,
|
227 |
+
"learning_rate": 5.792079207920792e-05,
|
228 |
+
"loss": 0.9114,
|
229 |
+
"step": 3400
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 2.17,
|
233 |
+
"learning_rate": 5.668316831683168e-05,
|
234 |
+
"loss": 0.9173,
|
235 |
+
"step": 3500
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 2.23,
|
239 |
+
"learning_rate": 5.544554455445545e-05,
|
240 |
+
"loss": 0.9131,
|
241 |
+
"step": 3600
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 2.29,
|
245 |
+
"learning_rate": 5.420792079207921e-05,
|
246 |
+
"loss": 0.9064,
|
247 |
+
"step": 3700
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 2.35,
|
251 |
+
"learning_rate": 5.2970297029702974e-05,
|
252 |
+
"loss": 0.9113,
|
253 |
+
"step": 3800
|
254 |
+
},
|
255 |
+
{
|
256 |
+
"epoch": 2.41,
|
257 |
+
"learning_rate": 5.1732673267326735e-05,
|
258 |
+
"loss": 0.8984,
|
259 |
+
"step": 3900
|
260 |
+
},
|
261 |
+
{
|
262 |
+
"epoch": 2.48,
|
263 |
+
"learning_rate": 5.0495049504950497e-05,
|
264 |
+
"loss": 0.9149,
|
265 |
+
"step": 4000
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 2.54,
|
269 |
+
"learning_rate": 4.925742574257426e-05,
|
270 |
+
"loss": 0.9041,
|
271 |
+
"step": 4100
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 2.6,
|
275 |
+
"learning_rate": 4.801980198019802e-05,
|
276 |
+
"loss": 0.9137,
|
277 |
+
"step": 4200
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 2.66,
|
281 |
+
"learning_rate": 4.678217821782179e-05,
|
282 |
+
"loss": 0.9117,
|
283 |
+
"step": 4300
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 2.72,
|
287 |
+
"learning_rate": 4.554455445544555e-05,
|
288 |
+
"loss": 0.9024,
|
289 |
+
"step": 4400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 2.78,
|
293 |
+
"learning_rate": 4.430693069306931e-05,
|
294 |
+
"loss": 0.914,
|
295 |
+
"step": 4500
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 2.85,
|
299 |
+
"learning_rate": 4.306930693069307e-05,
|
300 |
+
"loss": 0.9295,
|
301 |
+
"step": 4600
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 2.91,
|
305 |
+
"learning_rate": 4.183168316831683e-05,
|
306 |
+
"loss": 0.9088,
|
307 |
+
"step": 4700
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 2.97,
|
311 |
+
"learning_rate": 4.05940594059406e-05,
|
312 |
+
"loss": 0.9111,
|
313 |
+
"step": 4800
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 3.0,
|
317 |
+
"eval_loss": 1.101236343383789,
|
318 |
+
"eval_runtime": 102.4816,
|
319 |
+
"eval_samples_per_second": 35.48,
|
320 |
+
"eval_steps_per_second": 8.87,
|
321 |
+
"step": 4848
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 3.03,
|
325 |
+
"learning_rate": 3.935643564356436e-05,
|
326 |
+
"loss": 0.8905,
|
327 |
+
"step": 4900
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 3.09,
|
331 |
+
"learning_rate": 3.811881188118812e-05,
|
332 |
+
"loss": 0.8628,
|
333 |
+
"step": 5000
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 3.16,
|
337 |
+
"learning_rate": 3.6881188118811884e-05,
|
338 |
+
"loss": 0.8712,
|
339 |
+
"step": 5100
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 3.22,
|
343 |
+
"learning_rate": 3.5643564356435645e-05,
|
344 |
+
"loss": 0.8545,
|
345 |
+
"step": 5200
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 3.28,
|
349 |
+
"learning_rate": 3.440594059405941e-05,
|
350 |
+
"loss": 0.8793,
|
351 |
+
"step": 5300
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 3.34,
|
355 |
+
"learning_rate": 3.3168316831683175e-05,
|
356 |
+
"loss": 0.8677,
|
357 |
+
"step": 5400
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 3.4,
|
361 |
+
"learning_rate": 3.1930693069306936e-05,
|
362 |
+
"loss": 0.8716,
|
363 |
+
"step": 5500
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 3.47,
|
367 |
+
"learning_rate": 3.06930693069307e-05,
|
368 |
+
"loss": 0.8708,
|
369 |
+
"step": 5600
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 3.53,
|
373 |
+
"learning_rate": 2.9455445544554455e-05,
|
374 |
+
"loss": 0.8782,
|
375 |
+
"step": 5700
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 3.59,
|
379 |
+
"learning_rate": 2.8217821782178216e-05,
|
380 |
+
"loss": 0.8651,
|
381 |
+
"step": 5800
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 3.65,
|
385 |
+
"learning_rate": 2.6980198019801985e-05,
|
386 |
+
"loss": 0.8597,
|
387 |
+
"step": 5900
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 3.71,
|
391 |
+
"learning_rate": 2.5742574257425746e-05,
|
392 |
+
"loss": 0.8516,
|
393 |
+
"step": 6000
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 3.77,
|
397 |
+
"learning_rate": 2.4504950495049507e-05,
|
398 |
+
"loss": 0.8759,
|
399 |
+
"step": 6100
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 3.84,
|
403 |
+
"learning_rate": 2.326732673267327e-05,
|
404 |
+
"loss": 0.8631,
|
405 |
+
"step": 6200
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 3.9,
|
409 |
+
"learning_rate": 2.202970297029703e-05,
|
410 |
+
"loss": 0.8636,
|
411 |
+
"step": 6300
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 3.96,
|
415 |
+
"learning_rate": 2.079207920792079e-05,
|
416 |
+
"loss": 0.8691,
|
417 |
+
"step": 6400
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 4.0,
|
421 |
+
"eval_loss": 1.1012225151062012,
|
422 |
+
"eval_runtime": 102.0015,
|
423 |
+
"eval_samples_per_second": 35.647,
|
424 |
+
"eval_steps_per_second": 8.912,
|
425 |
+
"step": 6464
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 4.02,
|
429 |
+
"learning_rate": 1.9554455445544556e-05,
|
430 |
+
"loss": 0.8573,
|
431 |
+
"step": 6500
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 4.08,
|
435 |
+
"learning_rate": 1.8316831683168317e-05,
|
436 |
+
"loss": 0.8536,
|
437 |
+
"step": 6600
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 4.15,
|
441 |
+
"learning_rate": 1.707920792079208e-05,
|
442 |
+
"loss": 0.8329,
|
443 |
+
"step": 6700
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 4.21,
|
447 |
+
"learning_rate": 1.5841584158415843e-05,
|
448 |
+
"loss": 0.8407,
|
449 |
+
"step": 6800
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 4.27,
|
453 |
+
"learning_rate": 1.4603960396039604e-05,
|
454 |
+
"loss": 0.8525,
|
455 |
+
"step": 6900
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 4.33,
|
459 |
+
"learning_rate": 1.3366336633663367e-05,
|
460 |
+
"loss": 0.8473,
|
461 |
+
"step": 7000
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 4.39,
|
465 |
+
"learning_rate": 1.2128712871287128e-05,
|
466 |
+
"loss": 0.825,
|
467 |
+
"step": 7100
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 4.46,
|
471 |
+
"learning_rate": 1.0891089108910891e-05,
|
472 |
+
"loss": 0.834,
|
473 |
+
"step": 7200
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 4.52,
|
477 |
+
"learning_rate": 9.653465346534654e-06,
|
478 |
+
"loss": 0.8397,
|
479 |
+
"step": 7300
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 4.58,
|
483 |
+
"learning_rate": 8.415841584158417e-06,
|
484 |
+
"loss": 0.8436,
|
485 |
+
"step": 7400
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 4.64,
|
489 |
+
"learning_rate": 7.178217821782178e-06,
|
490 |
+
"loss": 0.8353,
|
491 |
+
"step": 7500
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 4.7,
|
495 |
+
"learning_rate": 5.940594059405941e-06,
|
496 |
+
"loss": 0.8332,
|
497 |
+
"step": 7600
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 4.76,
|
501 |
+
"learning_rate": 4.702970297029704e-06,
|
502 |
+
"loss": 0.8402,
|
503 |
+
"step": 7700
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 4.83,
|
507 |
+
"learning_rate": 3.4653465346534657e-06,
|
508 |
+
"loss": 0.8526,
|
509 |
+
"step": 7800
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 4.89,
|
513 |
+
"learning_rate": 2.227722772277228e-06,
|
514 |
+
"loss": 0.827,
|
515 |
+
"step": 7900
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 4.95,
|
519 |
+
"learning_rate": 9.900990099009902e-07,
|
520 |
+
"loss": 0.8543,
|
521 |
+
"step": 8000
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 5.0,
|
525 |
+
"eval_loss": 1.103607177734375,
|
526 |
+
"eval_runtime": 102.3147,
|
527 |
+
"eval_samples_per_second": 35.537,
|
528 |
+
"eval_steps_per_second": 8.884,
|
529 |
+
"step": 8080
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 5.0,
|
533 |
+
"step": 8080,
|
534 |
+
"total_flos": 1.574277938675712e+17,
|
535 |
+
"train_loss": 0.9537819692403964,
|
536 |
+
"train_runtime": 26215.2524,
|
537 |
+
"train_samples_per_second": 9.861,
|
538 |
+
"train_steps_per_second": 0.308
|
539 |
+
}
|
540 |
+
],
|
541 |
+
"logging_steps": 100,
|
542 |
+
"max_steps": 8080,
|
543 |
+
"num_train_epochs": 5,
|
544 |
+
"save_steps": 500,
|
545 |
+
"total_flos": 1.574277938675712e+17,
|
546 |
+
"trial_name": null,
|
547 |
+
"trial_params": null
|
548 |
+
}
|