jayanthspratap
commited on
End of training
Browse files- README.md +3 -3
- all_results.json +10 -10
- eval_results.json +5 -5
- runs/Aug10_00-00-02_EMIMDGXA100GPU1/events.out.tfevents.1723262455.EMIMDGXA100GPU1.4102242.1 +3 -0
- train_results.json +5 -5
- trainer_state.json +121 -310
README.md
CHANGED
@@ -20,7 +20,7 @@ model-index:
|
|
20 |
metrics:
|
21 |
- name: Accuracy
|
22 |
type: accuracy
|
23 |
-
value: 0.
|
24 |
---
|
25 |
|
26 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
30 |
|
31 |
This model was trained from scratch on the imagefolder dataset.
|
32 |
It achieves the following results on the evaluation set:
|
33 |
-
- Loss: 0.
|
34 |
-
- Accuracy: 0.
|
35 |
|
36 |
## Model description
|
37 |
|
|
|
20 |
metrics:
|
21 |
- name: Accuracy
|
22 |
type: accuracy
|
23 |
+
value: 0.8
|
24 |
---
|
25 |
|
26 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
30 |
|
31 |
This model was trained from scratch on the imagefolder dataset.
|
32 |
It achieves the following results on the evaluation set:
|
33 |
+
- Loss: 0.5546
|
34 |
+
- Accuracy: 0.8
|
35 |
|
36 |
## Model description
|
37 |
|
all_results.json
CHANGED
@@ -1,13 +1,13 @@
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
-
"total_flos":
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples_per_second":
|
12 |
-
"train_steps_per_second":
|
13 |
}
|
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.8,
|
4 |
+
"eval_loss": 0.5545626282691956,
|
5 |
+
"eval_runtime": 0.1252,
|
6 |
+
"eval_samples_per_second": 119.856,
|
7 |
+
"eval_steps_per_second": 31.962,
|
8 |
+
"total_flos": 9.841482681053184e+16,
|
9 |
+
"train_loss": 0.5487962663173676,
|
10 |
+
"train_runtime": 36.3019,
|
11 |
+
"train_samples_per_second": 34.984,
|
12 |
+
"train_steps_per_second": 2.204
|
13 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
-
"eval_accuracy": 0.
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples_per_second":
|
7 |
-
"eval_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.8,
|
4 |
+
"eval_loss": 0.5545626282691956,
|
5 |
+
"eval_runtime": 0.1252,
|
6 |
+
"eval_samples_per_second": 119.856,
|
7 |
+
"eval_steps_per_second": 31.962
|
8 |
}
|
runs/Aug10_00-00-02_EMIMDGXA100GPU1/events.out.tfevents.1723262455.EMIMDGXA100GPU1.4102242.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d71a1905c08a9676b0b062eb3bd20c54ad87e15fbf021c9b33163127bb935c45
|
3 |
+
size 405
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
-
"total_flos":
|
4 |
-
"train_loss": 0.
|
5 |
-
"train_runtime":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 10.0,
|
3 |
+
"total_flos": 9.841482681053184e+16,
|
4 |
+
"train_loss": 0.5487962663173676,
|
5 |
+
"train_runtime": 36.3019,
|
6 |
+
"train_samples_per_second": 34.984,
|
7 |
+
"train_steps_per_second": 2.204
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,360 +1,171 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "vit-base-patch16-224/checkpoint-
|
4 |
"epoch": 10.0,
|
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": 0.2857142857142857,
|
13 |
-
"grad_norm": 6.601813793182373,
|
14 |
-
"learning_rate": 1.4285714285714286e-06,
|
15 |
-
"loss": 0.785,
|
16 |
-
"step": 10
|
17 |
-
},
|
18 |
-
{
|
19 |
-
"epoch": 0.5714285714285714,
|
20 |
-
"grad_norm": 5.436784267425537,
|
21 |
-
"learning_rate": 2.8571428571428573e-06,
|
22 |
-
"loss": 0.7224,
|
23 |
-
"step": 20
|
24 |
-
},
|
25 |
-
{
|
26 |
-
"epoch": 0.8571428571428571,
|
27 |
-
"grad_norm": 5.551754474639893,
|
28 |
-
"learning_rate": 4.2857142857142855e-06,
|
29 |
-
"loss": 0.6893,
|
30 |
-
"step": 30
|
31 |
-
},
|
32 |
{
|
33 |
"epoch": 1.0,
|
34 |
-
"eval_accuracy": 0.
|
35 |
-
"eval_loss": 0.
|
36 |
-
"eval_runtime":
|
37 |
-
"eval_samples_per_second":
|
38 |
-
"eval_steps_per_second":
|
39 |
-
"step":
|
40 |
-
},
|
41 |
-
{
|
42 |
-
"epoch": 1.
|
43 |
-
"grad_norm":
|
44 |
-
"learning_rate": 4.
|
45 |
-
"loss": 0.
|
46 |
-
"step":
|
47 |
-
},
|
48 |
-
{
|
49 |
-
"epoch": 1.4285714285714286,
|
50 |
-
"grad_norm": 4.910062313079834,
|
51 |
-
"learning_rate": 4.761904761904762e-06,
|
52 |
-
"loss": 0.7049,
|
53 |
-
"step": 50
|
54 |
-
},
|
55 |
-
{
|
56 |
-
"epoch": 1.7142857142857144,
|
57 |
-
"grad_norm": 4.96162223815918,
|
58 |
-
"learning_rate": 4.603174603174604e-06,
|
59 |
-
"loss": 0.7185,
|
60 |
-
"step": 60
|
61 |
-
},
|
62 |
-
{
|
63 |
-
"epoch": 2.0,
|
64 |
-
"grad_norm": 7.957433223724365,
|
65 |
-
"learning_rate": 4.444444444444444e-06,
|
66 |
-
"loss": 0.702,
|
67 |
-
"step": 70
|
68 |
},
|
69 |
{
|
70 |
"epoch": 2.0,
|
71 |
-
"eval_accuracy": 0.
|
72 |
-
"eval_loss": 0.
|
73 |
-
"eval_runtime":
|
74 |
-
"eval_samples_per_second":
|
75 |
-
"eval_steps_per_second":
|
76 |
-
"step":
|
77 |
-
},
|
78 |
-
{
|
79 |
-
"epoch": 2.
|
80 |
-
"grad_norm":
|
81 |
-
"learning_rate": 4.
|
82 |
-
"loss": 0.
|
83 |
-
"step":
|
84 |
-
},
|
85 |
-
{
|
86 |
-
"epoch": 2.571428571428571,
|
87 |
-
"grad_norm": 3.8612518310546875,
|
88 |
-
"learning_rate": 4.126984126984127e-06,
|
89 |
-
"loss": 0.6843,
|
90 |
-
"step": 90
|
91 |
-
},
|
92 |
-
{
|
93 |
-
"epoch": 2.857142857142857,
|
94 |
-
"grad_norm": 5.266788482666016,
|
95 |
-
"learning_rate": 3.968253968253968e-06,
|
96 |
-
"loss": 0.6644,
|
97 |
-
"step": 100
|
98 |
},
|
99 |
{
|
100 |
"epoch": 3.0,
|
101 |
-
"eval_accuracy": 0.
|
102 |
-
"eval_loss": 0.
|
103 |
-
"eval_runtime":
|
104 |
-
"eval_samples_per_second":
|
105 |
-
"eval_steps_per_second":
|
106 |
-
"step":
|
107 |
-
},
|
108 |
-
{
|
109 |
-
"epoch": 3.
|
110 |
-
"grad_norm":
|
111 |
-
"learning_rate": 3.
|
112 |
-
"loss": 0.
|
113 |
-
"step":
|
114 |
-
},
|
115 |
-
{
|
116 |
-
"epoch": 3.4285714285714284,
|
117 |
-
"grad_norm": 4.810235500335693,
|
118 |
-
"learning_rate": 3.6507936507936507e-06,
|
119 |
-
"loss": 0.6903,
|
120 |
-
"step": 120
|
121 |
-
},
|
122 |
-
{
|
123 |
-
"epoch": 3.7142857142857144,
|
124 |
-
"grad_norm": 7.596153736114502,
|
125 |
-
"learning_rate": 3.492063492063492e-06,
|
126 |
-
"loss": 0.6859,
|
127 |
-
"step": 130
|
128 |
-
},
|
129 |
-
{
|
130 |
-
"epoch": 4.0,
|
131 |
-
"grad_norm": 8.868383407592773,
|
132 |
-
"learning_rate": 3.3333333333333333e-06,
|
133 |
-
"loss": 0.645,
|
134 |
-
"step": 140
|
135 |
},
|
136 |
{
|
137 |
"epoch": 4.0,
|
138 |
-
"eval_accuracy": 0.
|
139 |
-
"eval_loss": 0.
|
140 |
-
"eval_runtime":
|
141 |
-
"eval_samples_per_second":
|
142 |
-
"eval_steps_per_second":
|
143 |
-
"step":
|
144 |
-
},
|
145 |
-
{
|
146 |
-
"epoch": 4.285714285714286,
|
147 |
-
"grad_norm": 4.674743175506592,
|
148 |
-
"learning_rate": 3.1746031746031746e-06,
|
149 |
-
"loss": 0.6336,
|
150 |
-
"step": 150
|
151 |
-
},
|
152 |
-
{
|
153 |
-
"epoch": 4.571428571428571,
|
154 |
-
"grad_norm": 5.1306023597717285,
|
155 |
-
"learning_rate": 3.015873015873016e-06,
|
156 |
-
"loss": 0.6607,
|
157 |
-
"step": 160
|
158 |
-
},
|
159 |
-
{
|
160 |
-
"epoch": 4.857142857142857,
|
161 |
-
"grad_norm": 5.9358015060424805,
|
162 |
-
"learning_rate": 2.8571428571428573e-06,
|
163 |
-
"loss": 0.6455,
|
164 |
-
"step": 170
|
165 |
},
|
166 |
{
|
167 |
"epoch": 5.0,
|
168 |
-
"
|
169 |
-
"
|
170 |
-
"
|
171 |
-
"
|
172 |
-
"eval_steps_per_second": 1.468,
|
173 |
-
"step": 175
|
174 |
-
},
|
175 |
-
{
|
176 |
-
"epoch": 5.142857142857143,
|
177 |
-
"grad_norm": 4.706002712249756,
|
178 |
-
"learning_rate": 2.6984126984126986e-06,
|
179 |
-
"loss": 0.6039,
|
180 |
-
"step": 180
|
181 |
-
},
|
182 |
-
{
|
183 |
-
"epoch": 5.428571428571429,
|
184 |
-
"grad_norm": 5.049504280090332,
|
185 |
-
"learning_rate": 2.53968253968254e-06,
|
186 |
-
"loss": 0.6881,
|
187 |
-
"step": 190
|
188 |
-
},
|
189 |
-
{
|
190 |
-
"epoch": 5.714285714285714,
|
191 |
-
"grad_norm": 4.565422534942627,
|
192 |
-
"learning_rate": 2.380952380952381e-06,
|
193 |
-
"loss": 0.5841,
|
194 |
-
"step": 200
|
195 |
},
|
196 |
{
|
197 |
-
"epoch":
|
198 |
-
"
|
199 |
-
"
|
200 |
-
"
|
201 |
-
"
|
|
|
|
|
202 |
},
|
203 |
{
|
204 |
"epoch": 6.0,
|
205 |
-
"eval_accuracy": 0.
|
206 |
-
"eval_loss": 0.
|
207 |
-
"eval_runtime":
|
208 |
-
"eval_samples_per_second":
|
209 |
-
"eval_steps_per_second":
|
210 |
-
"step":
|
211 |
-
},
|
212 |
-
{
|
213 |
-
"epoch": 6.
|
214 |
-
"grad_norm":
|
215 |
-
"learning_rate": 2.
|
216 |
-
"loss": 0.
|
217 |
-
"step":
|
218 |
-
},
|
219 |
-
{
|
220 |
-
"epoch": 6.571428571428571,
|
221 |
-
"grad_norm": 4.8962812423706055,
|
222 |
-
"learning_rate": 1.904761904761905e-06,
|
223 |
-
"loss": 0.5735,
|
224 |
-
"step": 230
|
225 |
-
},
|
226 |
-
{
|
227 |
-
"epoch": 6.857142857142857,
|
228 |
-
"grad_norm": 4.864034175872803,
|
229 |
-
"learning_rate": 1.746031746031746e-06,
|
230 |
-
"loss": 0.6745,
|
231 |
-
"step": 240
|
232 |
},
|
233 |
{
|
234 |
"epoch": 7.0,
|
235 |
-
"eval_accuracy": 0.
|
236 |
-
"eval_loss": 0.
|
237 |
-
"eval_runtime":
|
238 |
-
"eval_samples_per_second":
|
239 |
-
"eval_steps_per_second":
|
240 |
-
"step":
|
241 |
-
},
|
242 |
-
{
|
243 |
-
"epoch": 7.
|
244 |
-
"grad_norm":
|
245 |
-
"learning_rate": 1.
|
246 |
-
"loss": 0.
|
247 |
-
"step":
|
248 |
-
},
|
249 |
-
{
|
250 |
-
"epoch": 7.428571428571429,
|
251 |
-
"grad_norm": 4.79843282699585,
|
252 |
-
"learning_rate": 1.4285714285714286e-06,
|
253 |
-
"loss": 0.6164,
|
254 |
-
"step": 260
|
255 |
-
},
|
256 |
-
{
|
257 |
-
"epoch": 7.714285714285714,
|
258 |
-
"grad_norm": 6.843749523162842,
|
259 |
-
"learning_rate": 1.26984126984127e-06,
|
260 |
-
"loss": 0.644,
|
261 |
-
"step": 270
|
262 |
-
},
|
263 |
-
{
|
264 |
-
"epoch": 8.0,
|
265 |
-
"grad_norm": 5.495963096618652,
|
266 |
-
"learning_rate": 1.111111111111111e-06,
|
267 |
-
"loss": 0.6369,
|
268 |
-
"step": 280
|
269 |
},
|
270 |
{
|
271 |
"epoch": 8.0,
|
272 |
-
"eval_accuracy": 0.
|
273 |
-
"eval_loss": 0.
|
274 |
-
"eval_runtime":
|
275 |
-
"eval_samples_per_second":
|
276 |
-
"eval_steps_per_second":
|
277 |
-
"step":
|
278 |
-
},
|
279 |
-
{
|
280 |
-
"epoch": 8.
|
281 |
-
"grad_norm":
|
282 |
-
"learning_rate":
|
283 |
-
"loss": 0.
|
284 |
-
"step":
|
285 |
-
},
|
286 |
-
{
|
287 |
-
"epoch": 8.571428571428571,
|
288 |
-
"grad_norm": 3.773362636566162,
|
289 |
-
"learning_rate": 7.936507936507937e-07,
|
290 |
-
"loss": 0.607,
|
291 |
-
"step": 300
|
292 |
-
},
|
293 |
-
{
|
294 |
-
"epoch": 8.857142857142858,
|
295 |
-
"grad_norm": 6.338254451751709,
|
296 |
-
"learning_rate": 6.34920634920635e-07,
|
297 |
-
"loss": 0.6012,
|
298 |
-
"step": 310
|
299 |
},
|
300 |
{
|
301 |
"epoch": 9.0,
|
302 |
-
"eval_accuracy": 0.
|
303 |
-
"eval_loss": 0.
|
304 |
-
"eval_runtime":
|
305 |
-
"eval_samples_per_second":
|
306 |
-
"eval_steps_per_second":
|
307 |
-
"step":
|
308 |
-
},
|
309 |
-
{
|
310 |
-
"epoch": 9.142857142857142,
|
311 |
-
"grad_norm": 5.557713031768799,
|
312 |
-
"learning_rate": 4.7619047619047623e-07,
|
313 |
-
"loss": 0.625,
|
314 |
-
"step": 320
|
315 |
-
},
|
316 |
-
{
|
317 |
-
"epoch": 9.428571428571429,
|
318 |
-
"grad_norm": 5.070873737335205,
|
319 |
-
"learning_rate": 3.174603174603175e-07,
|
320 |
-
"loss": 0.6012,
|
321 |
-
"step": 330
|
322 |
-
},
|
323 |
-
{
|
324 |
-
"epoch": 9.714285714285714,
|
325 |
-
"grad_norm": 6.369267463684082,
|
326 |
-
"learning_rate": 1.5873015873015874e-07,
|
327 |
-
"loss": 0.6237,
|
328 |
-
"step": 340
|
329 |
},
|
330 |
{
|
331 |
"epoch": 10.0,
|
332 |
-
"grad_norm":
|
333 |
"learning_rate": 0.0,
|
334 |
-
"loss": 0.
|
335 |
-
"step":
|
336 |
},
|
337 |
{
|
338 |
"epoch": 10.0,
|
339 |
-
"eval_accuracy": 0.
|
340 |
-
"eval_loss": 0.
|
341 |
-
"eval_runtime":
|
342 |
-
"eval_samples_per_second":
|
343 |
-
"eval_steps_per_second":
|
344 |
-
"step":
|
345 |
},
|
346 |
{
|
347 |
"epoch": 10.0,
|
348 |
-
"step":
|
349 |
-
"total_flos":
|
350 |
-
"train_loss": 0.
|
351 |
-
"train_runtime":
|
352 |
-
"train_samples_per_second":
|
353 |
-
"train_steps_per_second":
|
354 |
}
|
355 |
],
|
356 |
"logging_steps": 10,
|
357 |
-
"max_steps":
|
358 |
"num_input_tokens_seen": 0,
|
359 |
"num_train_epochs": 10,
|
360 |
"save_steps": 500,
|
@@ -370,7 +181,7 @@
|
|
370 |
"attributes": {}
|
371 |
}
|
372 |
},
|
373 |
-
"total_flos":
|
374 |
"train_batch_size": 4,
|
375 |
"trial_name": null,
|
376 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.8,
|
3 |
+
"best_model_checkpoint": "vit-base-patch16-224/checkpoint-8",
|
4 |
"epoch": 10.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 80,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
+
"eval_accuracy": 0.8,
|
14 |
+
"eval_loss": 0.5545626282691956,
|
15 |
+
"eval_runtime": 0.0989,
|
16 |
+
"eval_samples_per_second": 151.64,
|
17 |
+
"eval_steps_per_second": 40.437,
|
18 |
+
"step": 8
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 1.25,
|
22 |
+
"grad_norm": 4.057127952575684,
|
23 |
+
"learning_rate": 4.861111111111111e-06,
|
24 |
+
"loss": 0.5945,
|
25 |
+
"step": 10
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
26 |
},
|
27 |
{
|
28 |
"epoch": 2.0,
|
29 |
+
"eval_accuracy": 0.8,
|
30 |
+
"eval_loss": 0.5408901572227478,
|
31 |
+
"eval_runtime": 0.1082,
|
32 |
+
"eval_samples_per_second": 138.616,
|
33 |
+
"eval_steps_per_second": 36.964,
|
34 |
+
"step": 16
|
35 |
+
},
|
36 |
+
{
|
37 |
+
"epoch": 2.5,
|
38 |
+
"grad_norm": 4.53317403793335,
|
39 |
+
"learning_rate": 4.166666666666667e-06,
|
40 |
+
"loss": 0.5832,
|
41 |
+
"step": 20
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
42 |
},
|
43 |
{
|
44 |
"epoch": 3.0,
|
45 |
+
"eval_accuracy": 0.8,
|
46 |
+
"eval_loss": 0.5466590523719788,
|
47 |
+
"eval_runtime": 0.1022,
|
48 |
+
"eval_samples_per_second": 146.703,
|
49 |
+
"eval_steps_per_second": 39.121,
|
50 |
+
"step": 24
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 3.75,
|
54 |
+
"grad_norm": 3.683661937713623,
|
55 |
+
"learning_rate": 3.4722222222222224e-06,
|
56 |
+
"loss": 0.5338,
|
57 |
+
"step": 30
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
58 |
},
|
59 |
{
|
60 |
"epoch": 4.0,
|
61 |
+
"eval_accuracy": 0.8,
|
62 |
+
"eval_loss": 0.551804780960083,
|
63 |
+
"eval_runtime": 0.0956,
|
64 |
+
"eval_samples_per_second": 156.964,
|
65 |
+
"eval_steps_per_second": 41.857,
|
66 |
+
"step": 32
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
67 |
},
|
68 |
{
|
69 |
"epoch": 5.0,
|
70 |
+
"grad_norm": 4.659008979797363,
|
71 |
+
"learning_rate": 2.7777777777777783e-06,
|
72 |
+
"loss": 0.5513,
|
73 |
+
"step": 40
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
74 |
},
|
75 |
{
|
76 |
+
"epoch": 5.0,
|
77 |
+
"eval_accuracy": 0.8,
|
78 |
+
"eval_loss": 0.5602456331253052,
|
79 |
+
"eval_runtime": 0.0943,
|
80 |
+
"eval_samples_per_second": 159.134,
|
81 |
+
"eval_steps_per_second": 42.436,
|
82 |
+
"step": 40
|
83 |
},
|
84 |
{
|
85 |
"epoch": 6.0,
|
86 |
+
"eval_accuracy": 0.7333333333333333,
|
87 |
+
"eval_loss": 0.5607239007949829,
|
88 |
+
"eval_runtime": 0.1057,
|
89 |
+
"eval_samples_per_second": 141.965,
|
90 |
+
"eval_steps_per_second": 37.857,
|
91 |
+
"step": 48
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 6.25,
|
95 |
+
"grad_norm": 6.287199974060059,
|
96 |
+
"learning_rate": 2.0833333333333334e-06,
|
97 |
+
"loss": 0.5417,
|
98 |
+
"step": 50
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
99 |
},
|
100 |
{
|
101 |
"epoch": 7.0,
|
102 |
+
"eval_accuracy": 0.7333333333333333,
|
103 |
+
"eval_loss": 0.5707207322120667,
|
104 |
+
"eval_runtime": 0.1098,
|
105 |
+
"eval_samples_per_second": 136.606,
|
106 |
+
"eval_steps_per_second": 36.428,
|
107 |
+
"step": 56
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 7.5,
|
111 |
+
"grad_norm": 3.7512075901031494,
|
112 |
+
"learning_rate": 1.3888888888888892e-06,
|
113 |
+
"loss": 0.5343,
|
114 |
+
"step": 60
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
115 |
},
|
116 |
{
|
117 |
"epoch": 8.0,
|
118 |
+
"eval_accuracy": 0.7333333333333333,
|
119 |
+
"eval_loss": 0.5747508406639099,
|
120 |
+
"eval_runtime": 0.0961,
|
121 |
+
"eval_samples_per_second": 156.038,
|
122 |
+
"eval_steps_per_second": 41.61,
|
123 |
+
"step": 64
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 8.75,
|
127 |
+
"grad_norm": 4.6297926902771,
|
128 |
+
"learning_rate": 6.944444444444446e-07,
|
129 |
+
"loss": 0.5379,
|
130 |
+
"step": 70
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
131 |
},
|
132 |
{
|
133 |
"epoch": 9.0,
|
134 |
+
"eval_accuracy": 0.7333333333333333,
|
135 |
+
"eval_loss": 0.5735542178153992,
|
136 |
+
"eval_runtime": 0.0985,
|
137 |
+
"eval_samples_per_second": 152.245,
|
138 |
+
"eval_steps_per_second": 40.599,
|
139 |
+
"step": 72
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
140 |
},
|
141 |
{
|
142 |
"epoch": 10.0,
|
143 |
+
"grad_norm": 2.6508984565734863,
|
144 |
"learning_rate": 0.0,
|
145 |
+
"loss": 0.5137,
|
146 |
+
"step": 80
|
147 |
},
|
148 |
{
|
149 |
"epoch": 10.0,
|
150 |
+
"eval_accuracy": 0.7333333333333333,
|
151 |
+
"eval_loss": 0.5730186700820923,
|
152 |
+
"eval_runtime": 0.344,
|
153 |
+
"eval_samples_per_second": 43.601,
|
154 |
+
"eval_steps_per_second": 11.627,
|
155 |
+
"step": 80
|
156 |
},
|
157 |
{
|
158 |
"epoch": 10.0,
|
159 |
+
"step": 80,
|
160 |
+
"total_flos": 9.841482681053184e+16,
|
161 |
+
"train_loss": 0.5487962663173676,
|
162 |
+
"train_runtime": 36.3019,
|
163 |
+
"train_samples_per_second": 34.984,
|
164 |
+
"train_steps_per_second": 2.204
|
165 |
}
|
166 |
],
|
167 |
"logging_steps": 10,
|
168 |
+
"max_steps": 80,
|
169 |
"num_input_tokens_seen": 0,
|
170 |
"num_train_epochs": 10,
|
171 |
"save_steps": 500,
|
|
|
181 |
"attributes": {}
|
182 |
}
|
183 |
},
|
184 |
+
"total_flos": 9.841482681053184e+16,
|
185 |
"train_batch_size": 4,
|
186 |
"trial_name": null,
|
187 |
"trial_params": null
|