End of training
Browse files- README.md +12 -7
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- trainer_state.json +387 -77
- training_args.bin +1 -1
README.md
CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Loss: 1.
|
19 |
|
20 |
## Model description
|
21 |
|
@@ -45,17 +45,22 @@ The following hyperparameters were used during training:
|
|
45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
46 |
- lr_scheduler_type: cosine
|
47 |
- lr_scheduler_warmup_ratio: 0.03
|
48 |
-
- num_epochs:
|
49 |
|
50 |
### Training results
|
51 |
|
52 |
| Training Loss | Epoch | Step | Validation Loss |
|
53 |
|:-------------:|:-----:|:----:|:---------------:|
|
54 |
-
| 0.
|
55 |
-
| 0.
|
56 |
-
| 0.
|
57 |
-
| 0.
|
58 |
-
| 0.
|
|
|
|
|
|
|
|
|
|
|
59 |
|
60 |
|
61 |
### Framework versions
|
|
|
15 |
|
16 |
This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b](https://huggingface.co/liuhaotian/llava-v1.5-13b) on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- Loss: 1.4711
|
19 |
|
20 |
## Model description
|
21 |
|
|
|
45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
46 |
- lr_scheduler_type: cosine
|
47 |
- lr_scheduler_warmup_ratio: 0.03
|
48 |
+
- num_epochs: 10.0
|
49 |
|
50 |
### Training results
|
51 |
|
52 |
| Training Loss | Epoch | Step | Validation Loss |
|
53 |
|:-------------:|:-----:|:----:|:---------------:|
|
54 |
+
| 0.896 | 1.0 | 9 | 1.0162 |
|
55 |
+
| 0.2277 | 2.0 | 18 | 1.1135 |
|
56 |
+
| 0.0717 | 3.0 | 27 | 1.1909 |
|
57 |
+
| 0.0271 | 4.0 | 36 | 1.4078 |
|
58 |
+
| 0.0083 | 5.0 | 45 | 1.4837 |
|
59 |
+
| 0.0087 | 6.0 | 54 | 1.5063 |
|
60 |
+
| 0.0087 | 7.0 | 63 | 1.4929 |
|
61 |
+
| 0.0011 | 8.0 | 72 | 1.5387 |
|
62 |
+
| 0.0008 | 9.0 | 81 | 1.5352 |
|
63 |
+
| 0.0032 | 10.0 | 90 | 1.4711 |
|
64 |
|
65 |
|
66 |
### Framework versions
|
adapter_config.json
CHANGED
@@ -20,13 +20,13 @@
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
23 |
-
"v_proj",
|
24 |
-
"down_proj",
|
25 |
"o_proj",
|
26 |
-
"
|
27 |
"up_proj",
|
|
|
28 |
"q_proj",
|
29 |
-
"
|
|
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
|
|
20 |
"rank_pattern": {},
|
21 |
"revision": null,
|
22 |
"target_modules": [
|
|
|
|
|
23 |
"o_proj",
|
24 |
+
"gate_proj",
|
25 |
"up_proj",
|
26 |
+
"down_proj",
|
27 |
"q_proj",
|
28 |
+
"v_proj",
|
29 |
+
"k_proj"
|
30 |
],
|
31 |
"task_type": "CAUSAL_LM",
|
32 |
"use_dora": false,
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1001466944
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b686af1e6c6babb0071b0c51138c1804c85f62e3a954c2616394165a8bb75a45
|
3 |
size 1001466944
|
trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
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,
|
@@ -16,324 +16,634 @@
|
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.22,
|
19 |
-
"learning_rate": 0.
|
20 |
-
"loss": 1.
|
21 |
"step": 2
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.33,
|
25 |
"learning_rate": 0.0002,
|
26 |
-
"loss": 1.
|
27 |
"step": 3
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.44,
|
31 |
"learning_rate": 0.0002,
|
32 |
-
"loss": 1.
|
33 |
"step": 4
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.56,
|
37 |
"learning_rate": 0.0002,
|
38 |
-
"loss": 1.
|
39 |
"step": 5
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.67,
|
43 |
"learning_rate": 0.0002,
|
44 |
-
"loss": 1.
|
45 |
"step": 6
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.78,
|
49 |
"learning_rate": 0.0002,
|
50 |
-
"loss": 0.
|
51 |
"step": 7
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.89,
|
55 |
"learning_rate": 0.0002,
|
56 |
-
"loss": 0.
|
57 |
"step": 8
|
58 |
},
|
59 |
{
|
60 |
"epoch": 1.0,
|
61 |
"learning_rate": 0.0002,
|
62 |
-
"loss": 0.
|
63 |
"step": 9
|
64 |
},
|
65 |
{
|
66 |
"epoch": 1.0,
|
67 |
-
"eval_loss": 1.
|
68 |
-
"eval_runtime": 5.
|
69 |
-
"eval_samples_per_second": 9.
|
70 |
-
"eval_steps_per_second": 0.
|
71 |
"step": 9
|
72 |
},
|
73 |
{
|
74 |
"epoch": 1.11,
|
75 |
"learning_rate": 0.0002,
|
76 |
-
"loss": 0.
|
77 |
"step": 10
|
78 |
},
|
79 |
{
|
80 |
"epoch": 1.22,
|
81 |
"learning_rate": 0.0002,
|
82 |
-
"loss": 0.
|
83 |
"step": 11
|
84 |
},
|
85 |
{
|
86 |
"epoch": 1.33,
|
87 |
"learning_rate": 0.0002,
|
88 |
-
"loss": 0.
|
89 |
"step": 12
|
90 |
},
|
91 |
{
|
92 |
"epoch": 1.44,
|
93 |
"learning_rate": 0.0002,
|
94 |
-
"loss": 0.
|
95 |
"step": 13
|
96 |
},
|
97 |
{
|
98 |
"epoch": 1.56,
|
99 |
"learning_rate": 0.0002,
|
100 |
-
"loss": 0.
|
101 |
"step": 14
|
102 |
},
|
103 |
{
|
104 |
"epoch": 1.67,
|
105 |
"learning_rate": 0.0002,
|
106 |
-
"loss": 0.
|
107 |
"step": 15
|
108 |
},
|
109 |
{
|
110 |
"epoch": 1.78,
|
111 |
"learning_rate": 0.0002,
|
112 |
-
"loss": 0.
|
113 |
"step": 16
|
114 |
},
|
115 |
{
|
116 |
"epoch": 1.89,
|
117 |
"learning_rate": 0.0002,
|
118 |
-
"loss": 0.
|
119 |
"step": 17
|
120 |
},
|
121 |
{
|
122 |
"epoch": 2.0,
|
123 |
"learning_rate": 0.0002,
|
124 |
-
"loss": 0.
|
125 |
"step": 18
|
126 |
},
|
127 |
{
|
128 |
"epoch": 2.0,
|
129 |
-
"eval_loss": 1.
|
130 |
-
"eval_runtime": 5.
|
131 |
-
"eval_samples_per_second": 9.
|
132 |
-
"eval_steps_per_second": 0.
|
133 |
"step": 18
|
134 |
},
|
135 |
{
|
136 |
"epoch": 2.11,
|
137 |
"learning_rate": 0.0002,
|
138 |
-
"loss": 0.
|
139 |
"step": 19
|
140 |
},
|
141 |
{
|
142 |
"epoch": 2.22,
|
143 |
"learning_rate": 0.0002,
|
144 |
-
"loss": 0.
|
145 |
"step": 20
|
146 |
},
|
147 |
{
|
148 |
"epoch": 2.33,
|
149 |
"learning_rate": 0.0002,
|
150 |
-
"loss": 0.
|
151 |
"step": 21
|
152 |
},
|
153 |
{
|
154 |
"epoch": 2.44,
|
155 |
"learning_rate": 0.0002,
|
156 |
-
"loss": 0.
|
157 |
"step": 22
|
158 |
},
|
159 |
{
|
160 |
"epoch": 2.56,
|
161 |
"learning_rate": 0.0002,
|
162 |
-
"loss": 0.
|
163 |
"step": 23
|
164 |
},
|
165 |
{
|
166 |
"epoch": 2.67,
|
167 |
"learning_rate": 0.0002,
|
168 |
-
"loss": 0.
|
169 |
"step": 24
|
170 |
},
|
171 |
{
|
172 |
"epoch": 2.78,
|
173 |
"learning_rate": 0.0002,
|
174 |
-
"loss": 0.
|
175 |
"step": 25
|
176 |
},
|
177 |
{
|
178 |
"epoch": 2.89,
|
179 |
"learning_rate": 0.0002,
|
180 |
-
"loss": 0.
|
181 |
"step": 26
|
182 |
},
|
183 |
{
|
184 |
"epoch": 3.0,
|
185 |
"learning_rate": 0.0002,
|
186 |
-
"loss": 0.
|
187 |
"step": 27
|
188 |
},
|
189 |
{
|
190 |
"epoch": 3.0,
|
191 |
-
"eval_loss": 1.
|
192 |
-
"eval_runtime": 5.
|
193 |
-
"eval_samples_per_second": 9.
|
194 |
-
"eval_steps_per_second": 0.
|
195 |
"step": 27
|
196 |
},
|
197 |
{
|
198 |
"epoch": 3.11,
|
199 |
"learning_rate": 0.0002,
|
200 |
-
"loss": 0.
|
201 |
"step": 28
|
202 |
},
|
203 |
{
|
204 |
"epoch": 3.22,
|
205 |
"learning_rate": 0.0002,
|
206 |
-
"loss": 0.
|
207 |
"step": 29
|
208 |
},
|
209 |
{
|
210 |
"epoch": 3.33,
|
211 |
"learning_rate": 0.0002,
|
212 |
-
"loss": 0.
|
213 |
"step": 30
|
214 |
},
|
215 |
{
|
216 |
"epoch": 3.44,
|
217 |
"learning_rate": 0.0002,
|
218 |
-
"loss": 0.
|
219 |
"step": 31
|
220 |
},
|
221 |
{
|
222 |
"epoch": 3.56,
|
223 |
"learning_rate": 0.0002,
|
224 |
-
"loss": 0.
|
225 |
"step": 32
|
226 |
},
|
227 |
{
|
228 |
"epoch": 3.67,
|
229 |
"learning_rate": 0.0002,
|
230 |
-
"loss": 0.
|
231 |
"step": 33
|
232 |
},
|
233 |
{
|
234 |
"epoch": 3.78,
|
235 |
"learning_rate": 0.0002,
|
236 |
-
"loss": 0.
|
237 |
"step": 34
|
238 |
},
|
239 |
{
|
240 |
"epoch": 3.89,
|
241 |
"learning_rate": 0.0002,
|
242 |
-
"loss": 0.
|
243 |
"step": 35
|
244 |
},
|
245 |
{
|
246 |
"epoch": 4.0,
|
247 |
"learning_rate": 0.0002,
|
248 |
-
"loss": 0.
|
249 |
"step": 36
|
250 |
},
|
251 |
{
|
252 |
"epoch": 4.0,
|
253 |
-
"eval_loss": 1.
|
254 |
-
"eval_runtime": 5.
|
255 |
-
"eval_samples_per_second": 9.
|
256 |
-
"eval_steps_per_second": 0.
|
257 |
"step": 36
|
258 |
},
|
259 |
{
|
260 |
"epoch": 4.11,
|
261 |
"learning_rate": 0.0002,
|
262 |
-
"loss": 0.
|
263 |
"step": 37
|
264 |
},
|
265 |
{
|
266 |
"epoch": 4.22,
|
267 |
"learning_rate": 0.0002,
|
268 |
-
"loss": 0.
|
269 |
"step": 38
|
270 |
},
|
271 |
{
|
272 |
"epoch": 4.33,
|
273 |
"learning_rate": 0.0002,
|
274 |
-
"loss": 0.
|
275 |
"step": 39
|
276 |
},
|
277 |
{
|
278 |
"epoch": 4.44,
|
279 |
"learning_rate": 0.0002,
|
280 |
-
"loss": 0.
|
281 |
"step": 40
|
282 |
},
|
283 |
{
|
284 |
"epoch": 4.56,
|
285 |
"learning_rate": 0.0002,
|
286 |
-
"loss": 0.
|
287 |
"step": 41
|
288 |
},
|
289 |
{
|
290 |
"epoch": 4.67,
|
291 |
"learning_rate": 0.0002,
|
292 |
-
"loss": 0.
|
293 |
"step": 42
|
294 |
},
|
295 |
{
|
296 |
"epoch": 4.78,
|
297 |
"learning_rate": 0.0002,
|
298 |
-
"loss": 0.
|
299 |
"step": 43
|
300 |
},
|
301 |
{
|
302 |
"epoch": 4.89,
|
303 |
"learning_rate": 0.0002,
|
304 |
-
"loss": 0.
|
305 |
"step": 44
|
306 |
},
|
307 |
{
|
308 |
"epoch": 5.0,
|
309 |
"learning_rate": 0.0002,
|
310 |
-
"loss": 0.
|
311 |
"step": 45
|
312 |
},
|
313 |
{
|
314 |
"epoch": 5.0,
|
315 |
-
"eval_loss": 1.
|
316 |
-
"eval_runtime":
|
317 |
-
"eval_samples_per_second":
|
318 |
-
"eval_steps_per_second": 0.
|
319 |
"step": 45
|
320 |
},
|
321 |
{
|
322 |
-
"epoch": 5.
|
323 |
-
"
|
324 |
-
"
|
325 |
-
"
|
326 |
-
|
327 |
-
|
328 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
329 |
}
|
330 |
],
|
331 |
"logging_steps": 1.0,
|
332 |
-
"max_steps":
|
333 |
"num_input_tokens_seen": 0,
|
334 |
-
"num_train_epochs":
|
335 |
"save_steps": 50000,
|
336 |
-
"total_flos":
|
337 |
"train_batch_size": 4,
|
338 |
"trial_name": null,
|
339 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 10.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 90,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
16 |
},
|
17 |
{
|
18 |
"epoch": 0.22,
|
19 |
+
"learning_rate": 0.00012618595071429146,
|
20 |
+
"loss": 1.3311,
|
21 |
"step": 2
|
22 |
},
|
23 |
{
|
24 |
"epoch": 0.33,
|
25 |
"learning_rate": 0.0002,
|
26 |
+
"loss": 1.4462,
|
27 |
"step": 3
|
28 |
},
|
29 |
{
|
30 |
"epoch": 0.44,
|
31 |
"learning_rate": 0.0002,
|
32 |
+
"loss": 1.2415,
|
33 |
"step": 4
|
34 |
},
|
35 |
{
|
36 |
"epoch": 0.56,
|
37 |
"learning_rate": 0.0002,
|
38 |
+
"loss": 1.1317,
|
39 |
"step": 5
|
40 |
},
|
41 |
{
|
42 |
"epoch": 0.67,
|
43 |
"learning_rate": 0.0002,
|
44 |
+
"loss": 1.039,
|
45 |
"step": 6
|
46 |
},
|
47 |
{
|
48 |
"epoch": 0.78,
|
49 |
"learning_rate": 0.0002,
|
50 |
+
"loss": 0.9913,
|
51 |
"step": 7
|
52 |
},
|
53 |
{
|
54 |
"epoch": 0.89,
|
55 |
"learning_rate": 0.0002,
|
56 |
+
"loss": 0.8591,
|
57 |
"step": 8
|
58 |
},
|
59 |
{
|
60 |
"epoch": 1.0,
|
61 |
"learning_rate": 0.0002,
|
62 |
+
"loss": 0.896,
|
63 |
"step": 9
|
64 |
},
|
65 |
{
|
66 |
"epoch": 1.0,
|
67 |
+
"eval_loss": 1.01621675491333,
|
68 |
+
"eval_runtime": 5.155,
|
69 |
+
"eval_samples_per_second": 9.699,
|
70 |
+
"eval_steps_per_second": 0.388,
|
71 |
"step": 9
|
72 |
},
|
73 |
{
|
74 |
"epoch": 1.11,
|
75 |
"learning_rate": 0.0002,
|
76 |
+
"loss": 0.686,
|
77 |
"step": 10
|
78 |
},
|
79 |
{
|
80 |
"epoch": 1.22,
|
81 |
"learning_rate": 0.0002,
|
82 |
+
"loss": 0.5042,
|
83 |
"step": 11
|
84 |
},
|
85 |
{
|
86 |
"epoch": 1.33,
|
87 |
"learning_rate": 0.0002,
|
88 |
+
"loss": 0.4833,
|
89 |
"step": 12
|
90 |
},
|
91 |
{
|
92 |
"epoch": 1.44,
|
93 |
"learning_rate": 0.0002,
|
94 |
+
"loss": 0.5426,
|
95 |
"step": 13
|
96 |
},
|
97 |
{
|
98 |
"epoch": 1.56,
|
99 |
"learning_rate": 0.0002,
|
100 |
+
"loss": 0.4841,
|
101 |
"step": 14
|
102 |
},
|
103 |
{
|
104 |
"epoch": 1.67,
|
105 |
"learning_rate": 0.0002,
|
106 |
+
"loss": 0.4638,
|
107 |
"step": 15
|
108 |
},
|
109 |
{
|
110 |
"epoch": 1.78,
|
111 |
"learning_rate": 0.0002,
|
112 |
+
"loss": 0.3123,
|
113 |
"step": 16
|
114 |
},
|
115 |
{
|
116 |
"epoch": 1.89,
|
117 |
"learning_rate": 0.0002,
|
118 |
+
"loss": 0.2776,
|
119 |
"step": 17
|
120 |
},
|
121 |
{
|
122 |
"epoch": 2.0,
|
123 |
"learning_rate": 0.0002,
|
124 |
+
"loss": 0.2277,
|
125 |
"step": 18
|
126 |
},
|
127 |
{
|
128 |
"epoch": 2.0,
|
129 |
+
"eval_loss": 1.1135010719299316,
|
130 |
+
"eval_runtime": 5.2455,
|
131 |
+
"eval_samples_per_second": 9.532,
|
132 |
+
"eval_steps_per_second": 0.381,
|
133 |
"step": 18
|
134 |
},
|
135 |
{
|
136 |
"epoch": 2.11,
|
137 |
"learning_rate": 0.0002,
|
138 |
+
"loss": 0.1669,
|
139 |
"step": 19
|
140 |
},
|
141 |
{
|
142 |
"epoch": 2.22,
|
143 |
"learning_rate": 0.0002,
|
144 |
+
"loss": 0.1097,
|
145 |
"step": 20
|
146 |
},
|
147 |
{
|
148 |
"epoch": 2.33,
|
149 |
"learning_rate": 0.0002,
|
150 |
+
"loss": 0.1085,
|
151 |
"step": 21
|
152 |
},
|
153 |
{
|
154 |
"epoch": 2.44,
|
155 |
"learning_rate": 0.0002,
|
156 |
+
"loss": 0.1307,
|
157 |
"step": 22
|
158 |
},
|
159 |
{
|
160 |
"epoch": 2.56,
|
161 |
"learning_rate": 0.0002,
|
162 |
+
"loss": 0.0898,
|
163 |
"step": 23
|
164 |
},
|
165 |
{
|
166 |
"epoch": 2.67,
|
167 |
"learning_rate": 0.0002,
|
168 |
+
"loss": 0.056,
|
169 |
"step": 24
|
170 |
},
|
171 |
{
|
172 |
"epoch": 2.78,
|
173 |
"learning_rate": 0.0002,
|
174 |
+
"loss": 0.0965,
|
175 |
"step": 25
|
176 |
},
|
177 |
{
|
178 |
"epoch": 2.89,
|
179 |
"learning_rate": 0.0002,
|
180 |
+
"loss": 0.0987,
|
181 |
"step": 26
|
182 |
},
|
183 |
{
|
184 |
"epoch": 3.0,
|
185 |
"learning_rate": 0.0002,
|
186 |
+
"loss": 0.0717,
|
187 |
"step": 27
|
188 |
},
|
189 |
{
|
190 |
"epoch": 3.0,
|
191 |
+
"eval_loss": 1.1909135580062866,
|
192 |
+
"eval_runtime": 5.2212,
|
193 |
+
"eval_samples_per_second": 9.576,
|
194 |
+
"eval_steps_per_second": 0.383,
|
195 |
"step": 27
|
196 |
},
|
197 |
{
|
198 |
"epoch": 3.11,
|
199 |
"learning_rate": 0.0002,
|
200 |
+
"loss": 0.0384,
|
201 |
"step": 28
|
202 |
},
|
203 |
{
|
204 |
"epoch": 3.22,
|
205 |
"learning_rate": 0.0002,
|
206 |
+
"loss": 0.0343,
|
207 |
"step": 29
|
208 |
},
|
209 |
{
|
210 |
"epoch": 3.33,
|
211 |
"learning_rate": 0.0002,
|
212 |
+
"loss": 0.04,
|
213 |
"step": 30
|
214 |
},
|
215 |
{
|
216 |
"epoch": 3.44,
|
217 |
"learning_rate": 0.0002,
|
218 |
+
"loss": 0.0236,
|
219 |
"step": 31
|
220 |
},
|
221 |
{
|
222 |
"epoch": 3.56,
|
223 |
"learning_rate": 0.0002,
|
224 |
+
"loss": 0.0336,
|
225 |
"step": 32
|
226 |
},
|
227 |
{
|
228 |
"epoch": 3.67,
|
229 |
"learning_rate": 0.0002,
|
230 |
+
"loss": 0.0324,
|
231 |
"step": 33
|
232 |
},
|
233 |
{
|
234 |
"epoch": 3.78,
|
235 |
"learning_rate": 0.0002,
|
236 |
+
"loss": 0.0326,
|
237 |
"step": 34
|
238 |
},
|
239 |
{
|
240 |
"epoch": 3.89,
|
241 |
"learning_rate": 0.0002,
|
242 |
+
"loss": 0.0368,
|
243 |
"step": 35
|
244 |
},
|
245 |
{
|
246 |
"epoch": 4.0,
|
247 |
"learning_rate": 0.0002,
|
248 |
+
"loss": 0.0271,
|
249 |
"step": 36
|
250 |
},
|
251 |
{
|
252 |
"epoch": 4.0,
|
253 |
+
"eval_loss": 1.4077610969543457,
|
254 |
+
"eval_runtime": 5.2331,
|
255 |
+
"eval_samples_per_second": 9.555,
|
256 |
+
"eval_steps_per_second": 0.382,
|
257 |
"step": 36
|
258 |
},
|
259 |
{
|
260 |
"epoch": 4.11,
|
261 |
"learning_rate": 0.0002,
|
262 |
+
"loss": 0.0099,
|
263 |
"step": 37
|
264 |
},
|
265 |
{
|
266 |
"epoch": 4.22,
|
267 |
"learning_rate": 0.0002,
|
268 |
+
"loss": 0.0154,
|
269 |
"step": 38
|
270 |
},
|
271 |
{
|
272 |
"epoch": 4.33,
|
273 |
"learning_rate": 0.0002,
|
274 |
+
"loss": 0.0141,
|
275 |
"step": 39
|
276 |
},
|
277 |
{
|
278 |
"epoch": 4.44,
|
279 |
"learning_rate": 0.0002,
|
280 |
+
"loss": 0.0121,
|
281 |
"step": 40
|
282 |
},
|
283 |
{
|
284 |
"epoch": 4.56,
|
285 |
"learning_rate": 0.0002,
|
286 |
+
"loss": 0.0075,
|
287 |
"step": 41
|
288 |
},
|
289 |
{
|
290 |
"epoch": 4.67,
|
291 |
"learning_rate": 0.0002,
|
292 |
+
"loss": 0.0167,
|
293 |
"step": 42
|
294 |
},
|
295 |
{
|
296 |
"epoch": 4.78,
|
297 |
"learning_rate": 0.0002,
|
298 |
+
"loss": 0.0204,
|
299 |
"step": 43
|
300 |
},
|
301 |
{
|
302 |
"epoch": 4.89,
|
303 |
"learning_rate": 0.0002,
|
304 |
+
"loss": 0.0096,
|
305 |
"step": 44
|
306 |
},
|
307 |
{
|
308 |
"epoch": 5.0,
|
309 |
"learning_rate": 0.0002,
|
310 |
+
"loss": 0.0083,
|
311 |
"step": 45
|
312 |
},
|
313 |
{
|
314 |
"epoch": 5.0,
|
315 |
+
"eval_loss": 1.4836626052856445,
|
316 |
+
"eval_runtime": 5.2599,
|
317 |
+
"eval_samples_per_second": 9.506,
|
318 |
+
"eval_steps_per_second": 0.38,
|
319 |
"step": 45
|
320 |
},
|
321 |
{
|
322 |
+
"epoch": 5.11,
|
323 |
+
"learning_rate": 0.0002,
|
324 |
+
"loss": 0.005,
|
325 |
+
"step": 46
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 5.22,
|
329 |
+
"learning_rate": 0.0002,
|
330 |
+
"loss": 0.0089,
|
331 |
+
"step": 47
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 5.33,
|
335 |
+
"learning_rate": 0.0002,
|
336 |
+
"loss": 0.0051,
|
337 |
+
"step": 48
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 5.44,
|
341 |
+
"learning_rate": 0.0002,
|
342 |
+
"loss": 0.0073,
|
343 |
+
"step": 49
|
344 |
+
},
|
345 |
+
{
|
346 |
+
"epoch": 5.56,
|
347 |
+
"learning_rate": 0.0002,
|
348 |
+
"loss": 0.0038,
|
349 |
+
"step": 50
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 5.67,
|
353 |
+
"learning_rate": 0.0002,
|
354 |
+
"loss": 0.007,
|
355 |
+
"step": 51
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"epoch": 5.78,
|
359 |
+
"learning_rate": 0.0002,
|
360 |
+
"loss": 0.0044,
|
361 |
+
"step": 52
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 5.89,
|
365 |
+
"learning_rate": 0.0002,
|
366 |
+
"loss": 0.0023,
|
367 |
+
"step": 53
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 6.0,
|
371 |
+
"learning_rate": 0.0002,
|
372 |
+
"loss": 0.0087,
|
373 |
+
"step": 54
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 6.0,
|
377 |
+
"eval_loss": 1.5063480138778687,
|
378 |
+
"eval_runtime": 5.1771,
|
379 |
+
"eval_samples_per_second": 9.658,
|
380 |
+
"eval_steps_per_second": 0.386,
|
381 |
+
"step": 54
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 6.11,
|
385 |
+
"learning_rate": 0.0002,
|
386 |
+
"loss": 0.0021,
|
387 |
+
"step": 55
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 6.22,
|
391 |
+
"learning_rate": 0.0002,
|
392 |
+
"loss": 0.0024,
|
393 |
+
"step": 56
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 6.33,
|
397 |
+
"learning_rate": 0.0002,
|
398 |
+
"loss": 0.0087,
|
399 |
+
"step": 57
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 6.44,
|
403 |
+
"learning_rate": 0.0002,
|
404 |
+
"loss": 0.0046,
|
405 |
+
"step": 58
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 6.56,
|
409 |
+
"learning_rate": 0.0002,
|
410 |
+
"loss": 0.0045,
|
411 |
+
"step": 59
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 6.67,
|
415 |
+
"learning_rate": 0.0002,
|
416 |
+
"loss": 0.0024,
|
417 |
+
"step": 60
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 6.78,
|
421 |
+
"learning_rate": 0.0002,
|
422 |
+
"loss": 0.0096,
|
423 |
+
"step": 61
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 6.89,
|
427 |
+
"learning_rate": 0.0002,
|
428 |
+
"loss": 0.0058,
|
429 |
+
"step": 62
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 7.0,
|
433 |
+
"learning_rate": 0.0002,
|
434 |
+
"loss": 0.0087,
|
435 |
+
"step": 63
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 7.0,
|
439 |
+
"eval_loss": 1.4928628206253052,
|
440 |
+
"eval_runtime": 5.1608,
|
441 |
+
"eval_samples_per_second": 9.688,
|
442 |
+
"eval_steps_per_second": 0.388,
|
443 |
+
"step": 63
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 7.11,
|
447 |
+
"learning_rate": 0.0002,
|
448 |
+
"loss": 0.0023,
|
449 |
+
"step": 64
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 7.22,
|
453 |
+
"learning_rate": 0.0002,
|
454 |
+
"loss": 0.0025,
|
455 |
+
"step": 65
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 7.33,
|
459 |
+
"learning_rate": 0.0002,
|
460 |
+
"loss": 0.003,
|
461 |
+
"step": 66
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 7.44,
|
465 |
+
"learning_rate": 0.0002,
|
466 |
+
"loss": 0.0043,
|
467 |
+
"step": 67
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 7.56,
|
471 |
+
"learning_rate": 0.0002,
|
472 |
+
"loss": 0.0071,
|
473 |
+
"step": 68
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 7.67,
|
477 |
+
"learning_rate": 0.0002,
|
478 |
+
"loss": 0.0039,
|
479 |
+
"step": 69
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 7.78,
|
483 |
+
"learning_rate": 0.0002,
|
484 |
+
"loss": 0.0092,
|
485 |
+
"step": 70
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 7.89,
|
489 |
+
"learning_rate": 0.0002,
|
490 |
+
"loss": 0.0039,
|
491 |
+
"step": 71
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 8.0,
|
495 |
+
"learning_rate": 0.0002,
|
496 |
+
"loss": 0.0011,
|
497 |
+
"step": 72
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 8.0,
|
501 |
+
"eval_loss": 1.538659930229187,
|
502 |
+
"eval_runtime": 5.1718,
|
503 |
+
"eval_samples_per_second": 9.668,
|
504 |
+
"eval_steps_per_second": 0.387,
|
505 |
+
"step": 72
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 8.11,
|
509 |
+
"learning_rate": 0.0002,
|
510 |
+
"loss": 0.0021,
|
511 |
+
"step": 73
|
512 |
+
},
|
513 |
+
{
|
514 |
+
"epoch": 8.22,
|
515 |
+
"learning_rate": 0.0002,
|
516 |
+
"loss": 0.006,
|
517 |
+
"step": 74
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"epoch": 8.33,
|
521 |
+
"learning_rate": 0.0002,
|
522 |
+
"loss": 0.0026,
|
523 |
+
"step": 75
|
524 |
+
},
|
525 |
+
{
|
526 |
+
"epoch": 8.44,
|
527 |
+
"learning_rate": 0.0002,
|
528 |
+
"loss": 0.0029,
|
529 |
+
"step": 76
|
530 |
+
},
|
531 |
+
{
|
532 |
+
"epoch": 8.56,
|
533 |
+
"learning_rate": 0.0002,
|
534 |
+
"loss": 0.0058,
|
535 |
+
"step": 77
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 8.67,
|
539 |
+
"learning_rate": 0.0002,
|
540 |
+
"loss": 0.0009,
|
541 |
+
"step": 78
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 8.78,
|
545 |
+
"learning_rate": 0.0002,
|
546 |
+
"loss": 0.0025,
|
547 |
+
"step": 79
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 8.89,
|
551 |
+
"learning_rate": 0.0002,
|
552 |
+
"loss": 0.0061,
|
553 |
+
"step": 80
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 9.0,
|
557 |
+
"learning_rate": 0.0002,
|
558 |
+
"loss": 0.0008,
|
559 |
+
"step": 81
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 9.0,
|
563 |
+
"eval_loss": 1.5352141857147217,
|
564 |
+
"eval_runtime": 5.2355,
|
565 |
+
"eval_samples_per_second": 9.55,
|
566 |
+
"eval_steps_per_second": 0.382,
|
567 |
+
"step": 81
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 9.11,
|
571 |
+
"learning_rate": 0.0002,
|
572 |
+
"loss": 0.0021,
|
573 |
+
"step": 82
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 9.22,
|
577 |
+
"learning_rate": 0.0002,
|
578 |
+
"loss": 0.0028,
|
579 |
+
"step": 83
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 9.33,
|
583 |
+
"learning_rate": 0.0002,
|
584 |
+
"loss": 0.0087,
|
585 |
+
"step": 84
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 9.44,
|
589 |
+
"learning_rate": 0.0002,
|
590 |
+
"loss": 0.0069,
|
591 |
+
"step": 85
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 9.56,
|
595 |
+
"learning_rate": 0.0002,
|
596 |
+
"loss": 0.0052,
|
597 |
+
"step": 86
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 9.67,
|
601 |
+
"learning_rate": 0.0002,
|
602 |
+
"loss": 0.0021,
|
603 |
+
"step": 87
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 9.78,
|
607 |
+
"learning_rate": 0.0002,
|
608 |
+
"loss": 0.0031,
|
609 |
+
"step": 88
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 9.89,
|
613 |
+
"learning_rate": 0.0002,
|
614 |
+
"loss": 0.011,
|
615 |
+
"step": 89
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 10.0,
|
619 |
+
"learning_rate": 0.0002,
|
620 |
+
"loss": 0.0032,
|
621 |
+
"step": 90
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 10.0,
|
625 |
+
"eval_loss": 1.4710699319839478,
|
626 |
+
"eval_runtime": 5.2002,
|
627 |
+
"eval_samples_per_second": 9.615,
|
628 |
+
"eval_steps_per_second": 0.385,
|
629 |
+
"step": 90
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 10.0,
|
633 |
+
"step": 90,
|
634 |
+
"total_flos": 1.6878235281679974e+17,
|
635 |
+
"train_loss": 0.18127101581647165,
|
636 |
+
"train_runtime": 635.4362,
|
637 |
+
"train_samples_per_second": 4.454,
|
638 |
+
"train_steps_per_second": 0.142
|
639 |
}
|
640 |
],
|
641 |
"logging_steps": 1.0,
|
642 |
+
"max_steps": 90,
|
643 |
"num_input_tokens_seen": 0,
|
644 |
+
"num_train_epochs": 10,
|
645 |
"save_steps": 50000,
|
646 |
+
"total_flos": 1.6878235281679974e+17,
|
647 |
"train_batch_size": 4,
|
648 |
"trial_name": null,
|
649 |
"trial_params": null
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6776
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:23eb9e251a10058d18fc8df396a730b3053d22a67e8b7dc4e491ae060b60dcfb
|
3 |
size 6776
|