enriquesaou
commited on
Commit
•
6ff4495
1
Parent(s):
87d9710
End of training
Browse files- README.md +5 -1
- all_results.json +14 -0
- eval_results.json +8 -0
- runs/Jun03_20-36-48_3ae2d9ab28bf/events.out.tfevents.1717454282.3ae2d9ab28bf.7388.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +343 -0
README.md
CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
|
|
3 |
base_model: google-t5/t5-small
|
4 |
tags:
|
5 |
- generated_from_trainer
|
|
|
|
|
6 |
model-index:
|
7 |
- name: debug_seq2seq_squad
|
8 |
results: []
|
@@ -14,7 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/wdlupjr7)
|
15 |
# debug_seq2seq_squad
|
16 |
|
17 |
-
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on
|
|
|
|
|
18 |
|
19 |
## Model description
|
20 |
|
|
|
3 |
base_model: google-t5/t5-small
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- squad_v2
|
8 |
model-index:
|
9 |
- name: debug_seq2seq_squad
|
10 |
results: []
|
|
|
16 |
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/wdlupjr7)
|
17 |
# debug_seq2seq_squad
|
18 |
|
19 |
+
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the squad_v2 dataset.
|
20 |
+
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.7565
|
22 |
|
23 |
## Model description
|
24 |
|
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"eval_loss": 0.7564865946769714,
|
4 |
+
"eval_runtime": 109.7627,
|
5 |
+
"eval_samples": 12309,
|
6 |
+
"eval_samples_per_second": 112.142,
|
7 |
+
"eval_steps_per_second": 14.021,
|
8 |
+
"total_flos": 2.645641233904435e+16,
|
9 |
+
"train_loss": 0.5331895410246172,
|
10 |
+
"train_runtime": 7144.6567,
|
11 |
+
"train_samples": 130319,
|
12 |
+
"train_samples_per_second": 36.48,
|
13 |
+
"train_steps_per_second": 3.04
|
14 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"eval_loss": 0.7564865946769714,
|
4 |
+
"eval_runtime": 109.7627,
|
5 |
+
"eval_samples": 12309,
|
6 |
+
"eval_samples_per_second": 112.142,
|
7 |
+
"eval_steps_per_second": 14.021
|
8 |
+
}
|
runs/Jun03_20-36-48_3ae2d9ab28bf/events.out.tfevents.1717454282.3ae2d9ab28bf.7388.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:793ce4c20be7b4c6587b21c6f440034e6c1d1f2e85d951eb1406c9cc4c1846b0
|
3 |
+
size 364
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.0,
|
3 |
+
"total_flos": 2.645641233904435e+16,
|
4 |
+
"train_loss": 0.5331895410246172,
|
5 |
+
"train_runtime": 7144.6567,
|
6 |
+
"train_samples": 130319,
|
7 |
+
"train_samples_per_second": 36.48,
|
8 |
+
"train_steps_per_second": 3.04
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,343 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 21720,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.04604051565377532,
|
13 |
+
"grad_norm": 4.105458736419678,
|
14 |
+
"learning_rate": 2.930939226519337e-05,
|
15 |
+
"loss": 0.7338,
|
16 |
+
"step": 500
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.09208103130755065,
|
20 |
+
"grad_norm": 6.632126331329346,
|
21 |
+
"learning_rate": 2.861878453038674e-05,
|
22 |
+
"loss": 0.6214,
|
23 |
+
"step": 1000
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.13812154696132597,
|
27 |
+
"grad_norm": 5.542463302612305,
|
28 |
+
"learning_rate": 2.7928176795580113e-05,
|
29 |
+
"loss": 0.6065,
|
30 |
+
"step": 1500
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.1841620626151013,
|
34 |
+
"grad_norm": 8.155370712280273,
|
35 |
+
"learning_rate": 2.7237569060773482e-05,
|
36 |
+
"loss": 0.5881,
|
37 |
+
"step": 2000
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.2302025782688766,
|
41 |
+
"grad_norm": 3.674407720565796,
|
42 |
+
"learning_rate": 2.6546961325966852e-05,
|
43 |
+
"loss": 0.582,
|
44 |
+
"step": 2500
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.27624309392265195,
|
48 |
+
"grad_norm": 3.3256947994232178,
|
49 |
+
"learning_rate": 2.585635359116022e-05,
|
50 |
+
"loss": 0.577,
|
51 |
+
"step": 3000
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.32228360957642727,
|
55 |
+
"grad_norm": 4.420624732971191,
|
56 |
+
"learning_rate": 2.516574585635359e-05,
|
57 |
+
"loss": 0.5748,
|
58 |
+
"step": 3500
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.3683241252302026,
|
62 |
+
"grad_norm": 5.609716892242432,
|
63 |
+
"learning_rate": 2.4475138121546964e-05,
|
64 |
+
"loss": 0.5532,
|
65 |
+
"step": 4000
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.4143646408839779,
|
69 |
+
"grad_norm": 10.64582633972168,
|
70 |
+
"learning_rate": 2.3784530386740334e-05,
|
71 |
+
"loss": 0.5705,
|
72 |
+
"step": 4500
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.4604051565377532,
|
76 |
+
"grad_norm": 4.55027437210083,
|
77 |
+
"learning_rate": 2.3093922651933703e-05,
|
78 |
+
"loss": 0.5542,
|
79 |
+
"step": 5000
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.5064456721915286,
|
83 |
+
"grad_norm": 4.849785327911377,
|
84 |
+
"learning_rate": 2.2403314917127073e-05,
|
85 |
+
"loss": 0.5561,
|
86 |
+
"step": 5500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.5524861878453039,
|
90 |
+
"grad_norm": 7.6427154541015625,
|
91 |
+
"learning_rate": 2.1712707182320442e-05,
|
92 |
+
"loss": 0.5427,
|
93 |
+
"step": 6000
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.5985267034990792,
|
97 |
+
"grad_norm": 4.943839073181152,
|
98 |
+
"learning_rate": 2.1022099447513815e-05,
|
99 |
+
"loss": 0.548,
|
100 |
+
"step": 6500
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.6445672191528545,
|
104 |
+
"grad_norm": 3.1242663860321045,
|
105 |
+
"learning_rate": 2.0331491712707185e-05,
|
106 |
+
"loss": 0.5401,
|
107 |
+
"step": 7000
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.6906077348066298,
|
111 |
+
"grad_norm": 4.478808403015137,
|
112 |
+
"learning_rate": 1.9640883977900554e-05,
|
113 |
+
"loss": 0.5444,
|
114 |
+
"step": 7500
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.7366482504604052,
|
118 |
+
"grad_norm": 5.4113054275512695,
|
119 |
+
"learning_rate": 1.8950276243093924e-05,
|
120 |
+
"loss": 0.545,
|
121 |
+
"step": 8000
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.7826887661141805,
|
125 |
+
"grad_norm": 3.117663860321045,
|
126 |
+
"learning_rate": 1.825966850828729e-05,
|
127 |
+
"loss": 0.5268,
|
128 |
+
"step": 8500
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.8287292817679558,
|
132 |
+
"grad_norm": 4.178927421569824,
|
133 |
+
"learning_rate": 1.7569060773480663e-05,
|
134 |
+
"loss": 0.5441,
|
135 |
+
"step": 9000
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.8747697974217311,
|
139 |
+
"grad_norm": 8.61349868774414,
|
140 |
+
"learning_rate": 1.6878453038674033e-05,
|
141 |
+
"loss": 0.5383,
|
142 |
+
"step": 9500
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.9208103130755064,
|
146 |
+
"grad_norm": 5.246815204620361,
|
147 |
+
"learning_rate": 1.6187845303867402e-05,
|
148 |
+
"loss": 0.5386,
|
149 |
+
"step": 10000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.9668508287292817,
|
153 |
+
"grad_norm": 5.026543140411377,
|
154 |
+
"learning_rate": 1.5497237569060772e-05,
|
155 |
+
"loss": 0.5313,
|
156 |
+
"step": 10500
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 1.0128913443830572,
|
160 |
+
"grad_norm": 3.600374937057495,
|
161 |
+
"learning_rate": 1.4806629834254145e-05,
|
162 |
+
"loss": 0.5252,
|
163 |
+
"step": 11000
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 1.0589318600368325,
|
167 |
+
"grad_norm": 3.5238852500915527,
|
168 |
+
"learning_rate": 1.4116022099447514e-05,
|
169 |
+
"loss": 0.4928,
|
170 |
+
"step": 11500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 1.1049723756906078,
|
174 |
+
"grad_norm": 4.74073600769043,
|
175 |
+
"learning_rate": 1.3425414364640886e-05,
|
176 |
+
"loss": 0.5087,
|
177 |
+
"step": 12000
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 1.1510128913443831,
|
181 |
+
"grad_norm": 8.856585502624512,
|
182 |
+
"learning_rate": 1.2734806629834255e-05,
|
183 |
+
"loss": 0.4898,
|
184 |
+
"step": 12500
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 1.1970534069981584,
|
188 |
+
"grad_norm": 8.898761749267578,
|
189 |
+
"learning_rate": 1.2044198895027623e-05,
|
190 |
+
"loss": 0.5066,
|
191 |
+
"step": 13000
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 1.2430939226519337,
|
195 |
+
"grad_norm": 5.918560028076172,
|
196 |
+
"learning_rate": 1.1353591160220994e-05,
|
197 |
+
"loss": 0.5149,
|
198 |
+
"step": 13500
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 1.289134438305709,
|
202 |
+
"grad_norm": 4.796153545379639,
|
203 |
+
"learning_rate": 1.0662983425414364e-05,
|
204 |
+
"loss": 0.5006,
|
205 |
+
"step": 14000
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 1.3351749539594844,
|
209 |
+
"grad_norm": 5.584662914276123,
|
210 |
+
"learning_rate": 9.972375690607735e-06,
|
211 |
+
"loss": 0.5058,
|
212 |
+
"step": 14500
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 1.3812154696132597,
|
216 |
+
"grad_norm": 9.456035614013672,
|
217 |
+
"learning_rate": 9.281767955801105e-06,
|
218 |
+
"loss": 0.4885,
|
219 |
+
"step": 15000
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 1.427255985267035,
|
223 |
+
"grad_norm": 3.6488196849823,
|
224 |
+
"learning_rate": 8.591160220994474e-06,
|
225 |
+
"loss": 0.4914,
|
226 |
+
"step": 15500
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 1.4732965009208103,
|
230 |
+
"grad_norm": 3.0951404571533203,
|
231 |
+
"learning_rate": 7.900552486187846e-06,
|
232 |
+
"loss": 0.5016,
|
233 |
+
"step": 16000
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 1.5193370165745856,
|
237 |
+
"grad_norm": 5.87822151184082,
|
238 |
+
"learning_rate": 7.209944751381215e-06,
|
239 |
+
"loss": 0.5117,
|
240 |
+
"step": 16500
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 1.565377532228361,
|
244 |
+
"grad_norm": 5.016966819763184,
|
245 |
+
"learning_rate": 6.519337016574586e-06,
|
246 |
+
"loss": 0.5134,
|
247 |
+
"step": 17000
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 1.6114180478821363,
|
251 |
+
"grad_norm": 8.312193870544434,
|
252 |
+
"learning_rate": 5.828729281767956e-06,
|
253 |
+
"loss": 0.4934,
|
254 |
+
"step": 17500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.6574585635359116,
|
258 |
+
"grad_norm": 5.323014736175537,
|
259 |
+
"learning_rate": 5.1381215469613265e-06,
|
260 |
+
"loss": 0.5025,
|
261 |
+
"step": 18000
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 1.703499079189687,
|
265 |
+
"grad_norm": 4.238588809967041,
|
266 |
+
"learning_rate": 4.447513812154697e-06,
|
267 |
+
"loss": 0.4948,
|
268 |
+
"step": 18500
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 1.7495395948434622,
|
272 |
+
"grad_norm": 3.3375260829925537,
|
273 |
+
"learning_rate": 3.756906077348067e-06,
|
274 |
+
"loss": 0.5086,
|
275 |
+
"step": 19000
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.7955801104972375,
|
279 |
+
"grad_norm": 6.620930194854736,
|
280 |
+
"learning_rate": 3.0662983425414365e-06,
|
281 |
+
"loss": 0.4931,
|
282 |
+
"step": 19500
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 1.8416206261510129,
|
286 |
+
"grad_norm": 4.153687000274658,
|
287 |
+
"learning_rate": 2.375690607734807e-06,
|
288 |
+
"loss": 0.4853,
|
289 |
+
"step": 20000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 1.8876611418047882,
|
293 |
+
"grad_norm": 5.683996677398682,
|
294 |
+
"learning_rate": 1.6850828729281769e-06,
|
295 |
+
"loss": 0.492,
|
296 |
+
"step": 20500
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 1.9337016574585635,
|
300 |
+
"grad_norm": 3.776688575744629,
|
301 |
+
"learning_rate": 9.944751381215469e-07,
|
302 |
+
"loss": 0.4876,
|
303 |
+
"step": 21000
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 1.979742173112339,
|
307 |
+
"grad_norm": 2.931673526763916,
|
308 |
+
"learning_rate": 3.0386740331491715e-07,
|
309 |
+
"loss": 0.5069,
|
310 |
+
"step": 21500
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 2.0,
|
314 |
+
"step": 21720,
|
315 |
+
"total_flos": 2.645641233904435e+16,
|
316 |
+
"train_loss": 0.5331895410246172,
|
317 |
+
"train_runtime": 7144.6567,
|
318 |
+
"train_samples_per_second": 36.48,
|
319 |
+
"train_steps_per_second": 3.04
|
320 |
+
}
|
321 |
+
],
|
322 |
+
"logging_steps": 500,
|
323 |
+
"max_steps": 21720,
|
324 |
+
"num_input_tokens_seen": 0,
|
325 |
+
"num_train_epochs": 2,
|
326 |
+
"save_steps": 500,
|
327 |
+
"stateful_callbacks": {
|
328 |
+
"TrainerControl": {
|
329 |
+
"args": {
|
330 |
+
"should_epoch_stop": false,
|
331 |
+
"should_evaluate": false,
|
332 |
+
"should_log": false,
|
333 |
+
"should_save": true,
|
334 |
+
"should_training_stop": true
|
335 |
+
},
|
336 |
+
"attributes": {}
|
337 |
+
}
|
338 |
+
},
|
339 |
+
"total_flos": 2.645641233904435e+16,
|
340 |
+
"train_batch_size": 12,
|
341 |
+
"trial_name": null,
|
342 |
+
"trial_params": null
|
343 |
+
}
|