Training in progress, epoch 24, checkpoint
Browse files- checkpoint-8537/adapter_config.json +1 -1
- checkpoint-8537/adapter_model.bin +3 -0
- checkpoint-8537/added_tokens.json +3 -3
- checkpoint-8537/optimizer.pt +2 -2
- checkpoint-8537/rng_state_0.pth +1 -1
- checkpoint-8537/rng_state_1.pth +1 -1
- checkpoint-8537/rng_state_2.pth +1 -1
- checkpoint-8537/rng_state_3.pth +1 -1
- checkpoint-8537/special_tokens_map.json +4 -12
- checkpoint-8537/tokenizer.json +0 -0
- checkpoint-8537/tokenizer.model +3 -0
- checkpoint-8537/tokenizer_config.json +17 -20
- checkpoint-8537/trainer_state.json +392 -491
- checkpoint-8537/training_args.bin +2 -2
checkpoint-8537/adapter_config.json
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
{
|
2 |
"auto_mapping": null,
|
3 |
-
"base_model_name_or_path": "
|
4 |
"bias": "none",
|
5 |
"fan_in_fan_out": false,
|
6 |
"inference_mode": true,
|
|
|
1 |
{
|
2 |
"auto_mapping": null,
|
3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
|
4 |
"bias": "none",
|
5 |
"fan_in_fan_out": false,
|
6 |
"inference_mode": true,
|
checkpoint-8537/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a11b0b7a9fef8c82cdad7fa66064601d659142a8a8eac855a5cfee220f40e8fc
|
3 |
+
size 143269386
|
checkpoint-8537/added_tokens.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"
|
3 |
-
"
|
4 |
-
"
|
5 |
}
|
|
|
1 |
{
|
2 |
+
"</s>": 2,
|
3 |
+
"<s>": 1,
|
4 |
+
"<unk>": 0
|
5 |
}
|
checkpoint-8537/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:284ac1ba02f9714b309fdc1a6a4595b9d2104735178ce1595d04c48f807ad78b
|
3 |
+
size 286585234
|
checkpoint-8537/rng_state_0.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 15024
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1969e0c4fe9621317b447e592abf0a2fd050e9c56958ec92a06ee6bec6c5e00d
|
3 |
size 15024
|
checkpoint-8537/rng_state_1.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 15024
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ac2bc771b593bb08ad3445e9b60edb130385fcc799d3ef7e670960a11535f28e
|
3 |
size 15024
|
checkpoint-8537/rng_state_2.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 15024
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:10e301a70ddb6bb715f1db99e28a3647218ccd5bdc2be02f18cab990a16feb18
|
3 |
size 15024
|
checkpoint-8537/rng_state_3.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 15024
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:77b46c5414547edb4726f0886d175eccbab527e280109235e0b15dc1f9268dbd
|
3 |
size 15024
|
checkpoint-8537/special_tokens_map.json
CHANGED
@@ -1,14 +1,6 @@
|
|
1 |
{
|
2 |
-
"
|
3 |
-
|
4 |
-
|
5 |
-
|
6 |
-
"eos_token": {
|
7 |
-
"content": "<|endoftext|>",
|
8 |
-
"lstrip": false,
|
9 |
-
"normalized": false,
|
10 |
-
"rstrip": false,
|
11 |
-
"single_word": false
|
12 |
-
},
|
13 |
-
"pad_token": "<|endoftext|>"
|
14 |
}
|
|
|
1 |
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"eos_token": "</s>",
|
4 |
+
"pad_token": "</s>",
|
5 |
+
"unk_token": "<unk>"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
6 |
}
|
checkpoint-8537/tokenizer.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-8537/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-8537/tokenizer_config.json
CHANGED
@@ -1,24 +1,23 @@
|
|
1 |
{
|
2 |
-
"add_prefix_space": false,
|
3 |
"added_tokens_decoder": {
|
4 |
-
"
|
5 |
-
"content": "
|
6 |
"lstrip": false,
|
7 |
"normalized": false,
|
8 |
"rstrip": false,
|
9 |
"single_word": false,
|
10 |
"special": true
|
11 |
},
|
12 |
-
"
|
13 |
-
"content": "
|
14 |
"lstrip": false,
|
15 |
"normalized": false,
|
16 |
"rstrip": false,
|
17 |
"single_word": false,
|
18 |
"special": true
|
19 |
},
|
20 |
-
"
|
21 |
-
"content": "
|
22 |
"lstrip": false,
|
23 |
"normalized": false,
|
24 |
"rstrip": false,
|
@@ -26,18 +25,16 @@
|
|
26 |
"special": true
|
27 |
}
|
28 |
},
|
29 |
-
"additional_special_tokens": [
|
30 |
-
|
31 |
-
"<|im_end|>"
|
32 |
-
],
|
33 |
-
"bos_token": null,
|
34 |
-
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
35 |
"clean_up_tokenization_spaces": false,
|
36 |
-
"eos_token": "
|
37 |
-
"
|
38 |
-
"model_max_length":
|
39 |
-
"pad_token": "
|
40 |
-
"
|
41 |
-
"
|
42 |
-
"
|
|
|
|
|
43 |
}
|
|
|
1 |
{
|
|
|
2 |
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<unk>",
|
5 |
"lstrip": false,
|
6 |
"normalized": false,
|
7 |
"rstrip": false,
|
8 |
"single_word": false,
|
9 |
"special": true
|
10 |
},
|
11 |
+
"1": {
|
12 |
+
"content": "<s>",
|
13 |
"lstrip": false,
|
14 |
"normalized": false,
|
15 |
"rstrip": false,
|
16 |
"single_word": false,
|
17 |
"special": true
|
18 |
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
"lstrip": false,
|
22 |
"normalized": false,
|
23 |
"rstrip": false,
|
|
|
25 |
"special": true
|
26 |
}
|
27 |
},
|
28 |
+
"additional_special_tokens": [],
|
29 |
+
"bos_token": "<s>",
|
|
|
|
|
|
|
|
|
30 |
"clean_up_tokenization_spaces": false,
|
31 |
+
"eos_token": "</s>",
|
32 |
+
"legacy": false,
|
33 |
+
"model_max_length": 1000000000000000019884624838656,
|
34 |
+
"pad_token": "</s>",
|
35 |
+
"padding_side": "left",
|
36 |
+
"sp_model_kwargs": {},
|
37 |
+
"tokenizer_class": "LlamaTokenizer",
|
38 |
+
"unk_token": "<unk>",
|
39 |
+
"use_default_system_prompt": true
|
40 |
}
|
checkpoint-8537/trainer_state.json
CHANGED
@@ -9,1020 +9,921 @@
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch": 0.
|
13 |
-
"grad_norm": 0.26115021109580994,
|
14 |
"learning_rate": 3e-05,
|
15 |
-
"loss":
|
16 |
"step": 100
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"grad_norm": 0.2679530680179596,
|
21 |
"learning_rate": 3e-05,
|
22 |
-
"loss": 1.
|
23 |
"step": 200
|
24 |
},
|
25 |
{
|
26 |
-
"epoch": 0.
|
27 |
-
"grad_norm": 0.2916224002838135,
|
28 |
"learning_rate": 3e-05,
|
29 |
-
"loss": 1.
|
30 |
"step": 300
|
31 |
},
|
32 |
{
|
33 |
-
"epoch": 0
|
34 |
-
"eval_accuracy": 0.
|
35 |
-
"eval_loss": 3.
|
36 |
-
"eval_runtime":
|
37 |
-
"eval_samples_per_second":
|
38 |
-
"eval_steps_per_second":
|
39 |
"step": 341
|
40 |
},
|
41 |
{
|
42 |
-
"epoch": 0
|
43 |
-
"eval_bleu": 0.
|
44 |
-
"eval_exact_match": 0.
|
45 |
-
"eval_prefix_exact_match": 0.
|
46 |
"step": 341
|
47 |
},
|
48 |
{
|
49 |
-
"epoch": 1.
|
50 |
-
"grad_norm": 0.3534347712993622,
|
51 |
"learning_rate": 3e-05,
|
52 |
-
"loss": 1.
|
53 |
"step": 400
|
54 |
},
|
55 |
{
|
56 |
-
"epoch": 1.
|
57 |
-
"grad_norm": 0.3338424563407898,
|
58 |
"learning_rate": 3e-05,
|
59 |
-
"loss": 1.
|
60 |
"step": 500
|
61 |
},
|
62 |
{
|
63 |
-
"epoch": 1.
|
64 |
-
"grad_norm": 0.4033390283584595,
|
65 |
"learning_rate": 3e-05,
|
66 |
-
"loss": 1.
|
67 |
"step": 600
|
68 |
},
|
69 |
{
|
70 |
"epoch": 2.0,
|
71 |
-
"eval_accuracy": 0.
|
72 |
-
"eval_loss": 3.
|
73 |
-
"eval_runtime":
|
74 |
-
"eval_samples_per_second":
|
75 |
-
"eval_steps_per_second":
|
76 |
"step": 683
|
77 |
},
|
78 |
{
|
79 |
"epoch": 2.0,
|
80 |
-
"eval_bleu": 0.
|
81 |
-
"eval_exact_match": 0.
|
82 |
-
"eval_prefix_exact_match": 0.
|
83 |
"step": 683
|
84 |
},
|
85 |
{
|
86 |
-
"epoch": 2.
|
87 |
-
"grad_norm": 0.38882532715797424,
|
88 |
"learning_rate": 3e-05,
|
89 |
-
"loss": 1.
|
90 |
"step": 700
|
91 |
},
|
92 |
{
|
93 |
-
"epoch": 2.
|
94 |
-
"grad_norm": 0.44310709834098816,
|
95 |
"learning_rate": 3e-05,
|
96 |
-
"loss": 1.
|
97 |
"step": 800
|
98 |
},
|
99 |
{
|
100 |
-
"epoch": 2.
|
101 |
-
"grad_norm": 0.5196680426597595,
|
102 |
"learning_rate": 3e-05,
|
103 |
-
"loss": 1.
|
104 |
"step": 900
|
105 |
},
|
106 |
{
|
107 |
-
"epoch": 2.
|
108 |
-
"grad_norm": 0.5293437242507935,
|
109 |
"learning_rate": 3e-05,
|
110 |
-
"loss": 1.
|
111 |
"step": 1000
|
112 |
},
|
113 |
{
|
114 |
-
"epoch":
|
115 |
-
"eval_accuracy": 0.
|
116 |
-
"eval_loss": 3.
|
117 |
-
"eval_runtime":
|
118 |
-
"eval_samples_per_second":
|
119 |
-
"eval_steps_per_second":
|
120 |
"step": 1024
|
121 |
},
|
122 |
{
|
123 |
-
"epoch":
|
124 |
-
"eval_bleu": 0.
|
125 |
-
"eval_exact_match": 0.
|
126 |
-
"eval_prefix_exact_match": 0.
|
127 |
"step": 1024
|
128 |
},
|
129 |
{
|
130 |
-
"epoch": 3.
|
131 |
-
"grad_norm": 0.552943229675293,
|
132 |
"learning_rate": 3e-05,
|
133 |
-
"loss": 1.
|
134 |
"step": 1100
|
135 |
},
|
136 |
{
|
137 |
-
"epoch": 3.
|
138 |
-
"grad_norm": 0.6421984434127808,
|
139 |
"learning_rate": 3e-05,
|
140 |
-
"loss": 1.
|
141 |
"step": 1200
|
142 |
},
|
143 |
{
|
144 |
-
"epoch": 3.
|
145 |
-
"grad_norm": 0.7155198454856873,
|
146 |
"learning_rate": 3e-05,
|
147 |
-
"loss": 1.
|
148 |
"step": 1300
|
149 |
},
|
150 |
{
|
151 |
"epoch": 4.0,
|
152 |
-
"eval_accuracy": 0.
|
153 |
-
"eval_loss": 3.
|
154 |
-
"eval_runtime":
|
155 |
-
"eval_samples_per_second":
|
156 |
-
"eval_steps_per_second":
|
157 |
"step": 1366
|
158 |
},
|
159 |
{
|
160 |
"epoch": 4.0,
|
161 |
-
"eval_bleu": 0.
|
162 |
-
"eval_exact_match": 0.
|
163 |
-
"eval_prefix_exact_match": 0.
|
164 |
"step": 1366
|
165 |
},
|
166 |
{
|
167 |
-
"epoch": 4.
|
168 |
-
"grad_norm": 0.7837833166122437,
|
169 |
"learning_rate": 3e-05,
|
170 |
-
"loss": 1.
|
171 |
"step": 1400
|
172 |
},
|
173 |
{
|
174 |
-
"epoch": 4.
|
175 |
-
"grad_norm": 0.784609854221344,
|
176 |
"learning_rate": 3e-05,
|
177 |
-
"loss": 1.
|
178 |
"step": 1500
|
179 |
},
|
180 |
{
|
181 |
-
"epoch": 4.
|
182 |
-
"grad_norm": 0.834195613861084,
|
183 |
"learning_rate": 3e-05,
|
184 |
-
"loss": 1.
|
185 |
"step": 1600
|
186 |
},
|
187 |
{
|
188 |
-
"epoch": 4.
|
189 |
-
"grad_norm": 0.8902062177658081,
|
190 |
"learning_rate": 3e-05,
|
191 |
-
"loss": 1.
|
192 |
"step": 1700
|
193 |
},
|
194 |
{
|
195 |
-
"epoch":
|
196 |
-
"eval_accuracy": 0.
|
197 |
-
"eval_loss":
|
198 |
-
"eval_runtime":
|
199 |
-
"eval_samples_per_second":
|
200 |
-
"eval_steps_per_second":
|
201 |
"step": 1707
|
202 |
},
|
203 |
{
|
204 |
-
"epoch":
|
205 |
-
"eval_bleu": 0.
|
206 |
-
"eval_exact_match": 0.
|
207 |
-
"eval_prefix_exact_match": 0.
|
208 |
"step": 1707
|
209 |
},
|
210 |
{
|
211 |
-
"epoch": 5.
|
212 |
-
"grad_norm": 0.9495383501052856,
|
213 |
"learning_rate": 3e-05,
|
214 |
-
"loss": 1.
|
215 |
"step": 1800
|
216 |
},
|
217 |
{
|
218 |
-
"epoch": 5.
|
219 |
-
"grad_norm": 0.9647482633590698,
|
220 |
"learning_rate": 3e-05,
|
221 |
-
"loss": 1.
|
222 |
"step": 1900
|
223 |
},
|
224 |
{
|
225 |
-
"epoch": 5.
|
226 |
-
"grad_norm": 0.9825767874717712,
|
227 |
"learning_rate": 3e-05,
|
228 |
-
"loss": 1.
|
229 |
"step": 2000
|
230 |
},
|
231 |
{
|
232 |
"epoch": 6.0,
|
233 |
-
"eval_accuracy": 0.
|
234 |
-
"eval_loss":
|
235 |
-
"eval_runtime":
|
236 |
-
"eval_samples_per_second":
|
237 |
-
"eval_steps_per_second":
|
238 |
"step": 2049
|
239 |
},
|
240 |
{
|
241 |
"epoch": 6.0,
|
242 |
-
"eval_bleu": 0.
|
243 |
-
"eval_exact_match": 0.
|
244 |
-
"eval_prefix_exact_match": 0.
|
245 |
"step": 2049
|
246 |
},
|
247 |
{
|
248 |
-
"epoch": 6.
|
249 |
-
"grad_norm": 1.0430296659469604,
|
250 |
"learning_rate": 3e-05,
|
251 |
-
"loss": 1.
|
252 |
"step": 2100
|
253 |
},
|
254 |
{
|
255 |
-
"epoch": 6.
|
256 |
-
"grad_norm": 1.0777732133865356,
|
257 |
"learning_rate": 3e-05,
|
258 |
-
"loss": 1.
|
259 |
"step": 2200
|
260 |
},
|
261 |
{
|
262 |
-
"epoch": 6.
|
263 |
-
"grad_norm": 1.0959677696228027,
|
264 |
"learning_rate": 3e-05,
|
265 |
-
"loss": 1.
|
266 |
"step": 2300
|
267 |
},
|
268 |
{
|
269 |
-
"epoch":
|
270 |
-
"eval_accuracy": 0.
|
271 |
-
"eval_loss":
|
272 |
-
"eval_runtime":
|
273 |
-
"eval_samples_per_second":
|
274 |
-
"eval_steps_per_second":
|
275 |
"step": 2390
|
276 |
},
|
277 |
{
|
278 |
-
"epoch":
|
279 |
-
"eval_bleu": 0.
|
280 |
-
"eval_exact_match": 0.
|
281 |
-
"eval_prefix_exact_match": 0.
|
282 |
"step": 2390
|
283 |
},
|
284 |
{
|
285 |
-
"epoch": 7.
|
286 |
-
"grad_norm": 1.0649549961090088,
|
287 |
"learning_rate": 3e-05,
|
288 |
-
"loss": 1.
|
289 |
"step": 2400
|
290 |
},
|
291 |
{
|
292 |
-
"epoch": 7.
|
293 |
-
"grad_norm": 1.294122576713562,
|
294 |
"learning_rate": 3e-05,
|
295 |
-
"loss": 1.
|
296 |
"step": 2500
|
297 |
},
|
298 |
{
|
299 |
-
"epoch": 7.
|
300 |
-
"grad_norm": 1.2657020092010498,
|
301 |
"learning_rate": 3e-05,
|
302 |
-
"loss": 1.
|
303 |
"step": 2600
|
304 |
},
|
305 |
{
|
306 |
-
"epoch": 7.
|
307 |
-
"grad_norm": 1.1963133811950684,
|
308 |
"learning_rate": 3e-05,
|
309 |
-
"loss": 1.
|
310 |
"step": 2700
|
311 |
},
|
312 |
{
|
313 |
"epoch": 8.0,
|
314 |
-
"eval_accuracy": 0.
|
315 |
-
"eval_loss":
|
316 |
-
"eval_runtime":
|
317 |
-
"eval_samples_per_second":
|
318 |
-
"eval_steps_per_second":
|
319 |
"step": 2732
|
320 |
},
|
321 |
{
|
322 |
"epoch": 8.0,
|
323 |
-
"eval_bleu": 0.
|
324 |
-
"eval_exact_match": 0.
|
325 |
-
"eval_prefix_exact_match": 0.
|
326 |
"step": 2732
|
327 |
},
|
328 |
{
|
329 |
-
"epoch": 8.
|
330 |
-
"grad_norm": 1.3801360130310059,
|
331 |
"learning_rate": 3e-05,
|
332 |
-
"loss": 1.
|
333 |
"step": 2800
|
334 |
},
|
335 |
{
|
336 |
-
"epoch": 8.
|
337 |
-
"grad_norm": 1.3306772708892822,
|
338 |
"learning_rate": 3e-05,
|
339 |
-
"loss": 1.
|
340 |
"step": 2900
|
341 |
},
|
342 |
{
|
343 |
-
"epoch": 8.
|
344 |
-
"grad_norm": 1.5165746212005615,
|
345 |
"learning_rate": 3e-05,
|
346 |
-
"loss": 1.
|
347 |
"step": 3000
|
348 |
},
|
349 |
{
|
350 |
-
"epoch":
|
351 |
-
"eval_accuracy": 0.
|
352 |
-
"eval_loss":
|
353 |
-
"eval_runtime":
|
354 |
-
"eval_samples_per_second":
|
355 |
-
"eval_steps_per_second":
|
356 |
"step": 3073
|
357 |
},
|
358 |
{
|
359 |
-
"epoch":
|
360 |
-
"eval_bleu": 0.
|
361 |
-
"eval_exact_match": 0.
|
362 |
-
"eval_prefix_exact_match": 0.
|
363 |
"step": 3073
|
364 |
},
|
365 |
{
|
366 |
-
"epoch": 9.
|
367 |
-
"grad_norm": 1.4077060222625732,
|
368 |
"learning_rate": 3e-05,
|
369 |
-
"loss": 1.
|
370 |
"step": 3100
|
371 |
},
|
372 |
{
|
373 |
-
"epoch": 9.
|
374 |
-
"grad_norm": 1.475984811782837,
|
375 |
"learning_rate": 3e-05,
|
376 |
-
"loss": 1.
|
377 |
"step": 3200
|
378 |
},
|
379 |
{
|
380 |
-
"epoch": 9.
|
381 |
-
"grad_norm": 1.586300015449524,
|
382 |
"learning_rate": 3e-05,
|
383 |
-
"loss": 1.
|
384 |
"step": 3300
|
385 |
},
|
386 |
{
|
387 |
-
"epoch": 9.
|
388 |
-
"grad_norm": 1.510048270225525,
|
389 |
"learning_rate": 3e-05,
|
390 |
-
"loss": 1.
|
391 |
"step": 3400
|
392 |
},
|
393 |
{
|
394 |
"epoch": 10.0,
|
395 |
-
"eval_accuracy": 0.
|
396 |
-
"eval_loss":
|
397 |
-
"eval_runtime":
|
398 |
-
"eval_samples_per_second":
|
399 |
-
"eval_steps_per_second":
|
400 |
"step": 3415
|
401 |
},
|
402 |
{
|
403 |
"epoch": 10.0,
|
404 |
-
"eval_bleu": 0.
|
405 |
-
"eval_exact_match": 0.
|
406 |
"eval_prefix_exact_match": 0.032,
|
407 |
"step": 3415
|
408 |
},
|
409 |
{
|
410 |
-
"epoch": 10.
|
411 |
-
"grad_norm": 1.6384536027908325,
|
412 |
"learning_rate": 3e-05,
|
413 |
-
"loss":
|
414 |
"step": 3500
|
415 |
},
|
416 |
{
|
417 |
-
"epoch": 10.
|
418 |
-
"grad_norm": 1.7626007795333862,
|
419 |
"learning_rate": 3e-05,
|
420 |
-
"loss": 1.
|
421 |
"step": 3600
|
422 |
},
|
423 |
{
|
424 |
-
"epoch": 10.
|
425 |
-
"grad_norm": 1.6483694314956665,
|
426 |
"learning_rate": 3e-05,
|
427 |
-
"loss":
|
428 |
"step": 3700
|
429 |
},
|
430 |
{
|
431 |
-
"epoch":
|
432 |
-
"eval_accuracy": 0.
|
433 |
-
"eval_loss":
|
434 |
-
"eval_runtime":
|
435 |
-
"eval_samples_per_second":
|
436 |
-
"eval_steps_per_second":
|
437 |
"step": 3756
|
438 |
},
|
439 |
{
|
440 |
-
"epoch":
|
441 |
-
"eval_bleu": 0.
|
442 |
-
"eval_exact_match": 0.
|
443 |
"eval_prefix_exact_match": 0.026,
|
444 |
"step": 3756
|
445 |
},
|
446 |
{
|
447 |
-
"epoch": 11.
|
448 |
-
"grad_norm": 1.8367844820022583,
|
449 |
"learning_rate": 3e-05,
|
450 |
-
"loss":
|
451 |
"step": 3800
|
452 |
},
|
453 |
{
|
454 |
-
"epoch": 11.
|
455 |
-
"grad_norm": 1.8123779296875,
|
456 |
"learning_rate": 3e-05,
|
457 |
-
"loss":
|
458 |
"step": 3900
|
459 |
},
|
460 |
{
|
461 |
-
"epoch": 11.
|
462 |
-
"grad_norm": 1.9437752962112427,
|
463 |
"learning_rate": 3e-05,
|
464 |
-
"loss":
|
465 |
"step": 4000
|
466 |
},
|
467 |
{
|
468 |
"epoch": 12.0,
|
469 |
-
"eval_accuracy": 0.
|
470 |
-
"eval_loss": 4.
|
471 |
-
"eval_runtime":
|
472 |
-
"eval_samples_per_second":
|
473 |
-
"eval_steps_per_second":
|
474 |
"step": 4098
|
475 |
},
|
476 |
{
|
477 |
"epoch": 12.0,
|
478 |
-
"eval_bleu": 0.
|
479 |
-
"eval_exact_match": 0.
|
480 |
-
"eval_prefix_exact_match": 0.
|
481 |
"step": 4098
|
482 |
},
|
483 |
{
|
484 |
-
"epoch": 12.
|
485 |
-
"grad_norm": 1.5838289260864258,
|
486 |
"learning_rate": 3e-05,
|
487 |
-
"loss":
|
488 |
"step": 4100
|
489 |
},
|
490 |
{
|
491 |
-
"epoch": 12.
|
492 |
-
"grad_norm": 1.8575290441513062,
|
493 |
"learning_rate": 3e-05,
|
494 |
-
"loss":
|
495 |
"step": 4200
|
496 |
},
|
497 |
{
|
498 |
-
"epoch": 12.
|
499 |
-
"grad_norm": 1.9598041772842407,
|
500 |
"learning_rate": 3e-05,
|
501 |
-
"loss":
|
502 |
"step": 4300
|
503 |
},
|
504 |
{
|
505 |
-
"epoch": 12.
|
506 |
-
"grad_norm": 1.972550868988037,
|
507 |
"learning_rate": 3e-05,
|
508 |
-
"loss":
|
509 |
"step": 4400
|
510 |
},
|
511 |
{
|
512 |
-
"epoch":
|
513 |
-
"eval_accuracy": 0.
|
514 |
-
"eval_loss": 4.
|
515 |
-
"eval_runtime":
|
516 |
-
"eval_samples_per_second":
|
517 |
-
"eval_steps_per_second":
|
518 |
"step": 4439
|
519 |
},
|
520 |
{
|
521 |
-
"epoch":
|
522 |
-
"eval_bleu": 0.
|
523 |
-
"eval_exact_match": 0.
|
524 |
-
"eval_prefix_exact_match": 0.
|
525 |
"step": 4439
|
526 |
},
|
527 |
{
|
528 |
-
"epoch": 13.
|
529 |
-
"grad_norm": 1.9469107389450073,
|
530 |
"learning_rate": 3e-05,
|
531 |
-
"loss":
|
532 |
"step": 4500
|
533 |
},
|
534 |
{
|
535 |
-
"epoch": 13.
|
536 |
-
"grad_norm": 2.1680469512939453,
|
537 |
"learning_rate": 3e-05,
|
538 |
-
"loss":
|
539 |
"step": 4600
|
540 |
},
|
541 |
{
|
542 |
-
"epoch": 13.
|
543 |
-
"grad_norm": 2.1960484981536865,
|
544 |
"learning_rate": 3e-05,
|
545 |
-
"loss":
|
546 |
"step": 4700
|
547 |
},
|
548 |
{
|
549 |
"epoch": 14.0,
|
550 |
-
"eval_accuracy": 0.
|
551 |
-
"eval_loss": 4.
|
552 |
-
"eval_runtime":
|
553 |
-
"eval_samples_per_second":
|
554 |
-
"eval_steps_per_second":
|
555 |
"step": 4781
|
556 |
},
|
557 |
{
|
558 |
"epoch": 14.0,
|
559 |
-
"eval_bleu": 0.
|
560 |
-
"eval_exact_match": 0.
|
561 |
-
"eval_prefix_exact_match": 0.
|
562 |
"step": 4781
|
563 |
},
|
564 |
{
|
565 |
-
"epoch": 14.
|
566 |
-
"grad_norm": 2.4733147621154785,
|
567 |
"learning_rate": 3e-05,
|
568 |
-
"loss":
|
569 |
"step": 4800
|
570 |
},
|
571 |
{
|
572 |
-
"epoch": 14.
|
573 |
-
"grad_norm": 2.2826030254364014,
|
574 |
"learning_rate": 3e-05,
|
575 |
-
"loss":
|
576 |
"step": 4900
|
577 |
},
|
578 |
{
|
579 |
-
"epoch": 14.
|
580 |
-
"grad_norm": 2.041346788406372,
|
581 |
"learning_rate": 3e-05,
|
582 |
-
"loss":
|
583 |
"step": 5000
|
584 |
},
|
585 |
{
|
586 |
-
"epoch": 14.
|
587 |
-
"grad_norm": 2.3494467735290527,
|
588 |
"learning_rate": 3e-05,
|
589 |
-
"loss":
|
590 |
"step": 5100
|
591 |
},
|
592 |
{
|
593 |
-
"epoch":
|
594 |
-
"eval_accuracy": 0.
|
595 |
-
"eval_loss": 4.
|
596 |
-
"eval_runtime":
|
597 |
-
"eval_samples_per_second":
|
598 |
-
"eval_steps_per_second":
|
599 |
"step": 5122
|
600 |
},
|
601 |
{
|
602 |
-
"epoch":
|
603 |
-
"eval_bleu": 0.
|
604 |
-
"eval_exact_match": 0.
|
605 |
-
"eval_prefix_exact_match": 0.
|
606 |
"step": 5122
|
607 |
},
|
608 |
{
|
609 |
-
"epoch": 15.
|
610 |
-
"grad_norm": 2.411022663116455,
|
611 |
"learning_rate": 3e-05,
|
612 |
-
"loss":
|
613 |
"step": 5200
|
614 |
},
|
615 |
{
|
616 |
-
"epoch": 15.
|
617 |
-
"grad_norm": 2.3778491020202637,
|
618 |
"learning_rate": 3e-05,
|
619 |
-
"loss":
|
620 |
"step": 5300
|
621 |
},
|
622 |
{
|
623 |
-
"epoch": 15.
|
624 |
-
"grad_norm": 2.2003743648529053,
|
625 |
"learning_rate": 3e-05,
|
626 |
-
"loss":
|
627 |
"step": 5400
|
628 |
},
|
629 |
{
|
630 |
"epoch": 16.0,
|
631 |
-
"eval_accuracy": 0.
|
632 |
-
"eval_loss": 4.
|
633 |
-
"eval_runtime":
|
634 |
-
"eval_samples_per_second":
|
635 |
-
"eval_steps_per_second":
|
636 |
"step": 5464
|
637 |
},
|
638 |
{
|
639 |
"epoch": 16.0,
|
640 |
-
"eval_bleu": 0.
|
641 |
-
"eval_exact_match": 0.
|
642 |
-
"eval_prefix_exact_match": 0.
|
643 |
"step": 5464
|
644 |
},
|
645 |
{
|
646 |
-
"epoch": 16.
|
647 |
-
"grad_norm": 2.1213016510009766,
|
648 |
"learning_rate": 3e-05,
|
649 |
-
"loss":
|
650 |
"step": 5500
|
651 |
},
|
652 |
{
|
653 |
-
"epoch": 16.
|
654 |
-
"grad_norm": 2.4457600116729736,
|
655 |
"learning_rate": 3e-05,
|
656 |
-
"loss":
|
657 |
"step": 5600
|
658 |
},
|
659 |
{
|
660 |
-
"epoch": 16.
|
661 |
-
"grad_norm": 2.5844104290008545,
|
662 |
"learning_rate": 3e-05,
|
663 |
-
"loss":
|
664 |
"step": 5700
|
665 |
},
|
666 |
{
|
667 |
-
"epoch": 16.
|
668 |
-
"grad_norm": 2.7657299041748047,
|
669 |
"learning_rate": 3e-05,
|
670 |
-
"loss":
|
671 |
"step": 5800
|
672 |
},
|
673 |
{
|
674 |
-
"epoch":
|
675 |
-
"eval_accuracy": 0.
|
676 |
-
"eval_loss":
|
677 |
-
"eval_runtime":
|
678 |
-
"eval_samples_per_second":
|
679 |
-
"eval_steps_per_second":
|
680 |
"step": 5805
|
681 |
},
|
682 |
{
|
683 |
-
"epoch":
|
684 |
-
"eval_bleu": 0.
|
685 |
-
"eval_exact_match": 0.
|
686 |
-
"eval_prefix_exact_match": 0.
|
687 |
"step": 5805
|
688 |
},
|
689 |
{
|
690 |
-
"epoch": 17.
|
691 |
-
"grad_norm": 2.4050705432891846,
|
692 |
"learning_rate": 3e-05,
|
693 |
-
"loss":
|
694 |
"step": 5900
|
695 |
},
|
696 |
{
|
697 |
-
"epoch": 17.
|
698 |
-
"grad_norm": 2.584331750869751,
|
699 |
"learning_rate": 3e-05,
|
700 |
-
"loss":
|
701 |
"step": 6000
|
702 |
},
|
703 |
{
|
704 |
-
"epoch": 17.
|
705 |
-
"grad_norm": 3.257659912109375,
|
706 |
"learning_rate": 3e-05,
|
707 |
-
"loss":
|
708 |
"step": 6100
|
709 |
},
|
710 |
{
|
711 |
"epoch": 18.0,
|
712 |
-
"eval_accuracy": 0.
|
713 |
-
"eval_loss": 4.
|
714 |
-
"eval_runtime":
|
715 |
-
"eval_samples_per_second":
|
716 |
-
"eval_steps_per_second":
|
717 |
"step": 6147
|
718 |
},
|
719 |
{
|
720 |
"epoch": 18.0,
|
721 |
-
"eval_bleu": 0.
|
722 |
-
"eval_exact_match": 0.
|
723 |
-
"eval_prefix_exact_match": 0.
|
724 |
"step": 6147
|
725 |
},
|
726 |
{
|
727 |
-
"epoch": 18.
|
728 |
-
"grad_norm": 3.068880319595337,
|
729 |
"learning_rate": 3e-05,
|
730 |
-
"loss":
|
731 |
"step": 6200
|
732 |
},
|
733 |
{
|
734 |
-
"epoch": 18.
|
735 |
-
"grad_norm": 2.737912893295288,
|
736 |
"learning_rate": 3e-05,
|
737 |
-
"loss":
|
738 |
"step": 6300
|
739 |
},
|
740 |
{
|
741 |
-
"epoch": 18.
|
742 |
-
"grad_norm": 2.878462076187134,
|
743 |
"learning_rate": 3e-05,
|
744 |
-
"loss":
|
745 |
"step": 6400
|
746 |
},
|
747 |
{
|
748 |
-
"epoch":
|
749 |
-
"eval_accuracy": 0.
|
750 |
-
"eval_loss":
|
751 |
-
"eval_runtime":
|
752 |
-
"eval_samples_per_second":
|
753 |
-
"eval_steps_per_second":
|
754 |
"step": 6488
|
755 |
},
|
756 |
{
|
757 |
-
"epoch":
|
758 |
-
"eval_bleu": 0.
|
759 |
"eval_exact_match": 0.0,
|
760 |
"eval_prefix_exact_match": 0.02,
|
761 |
"step": 6488
|
762 |
},
|
763 |
{
|
764 |
-
"epoch": 19.
|
765 |
-
"grad_norm": 2.6934640407562256,
|
766 |
"learning_rate": 3e-05,
|
767 |
-
"loss":
|
768 |
"step": 6500
|
769 |
},
|
770 |
{
|
771 |
-
"epoch": 19.
|
772 |
-
"grad_norm": 2.822169542312622,
|
773 |
"learning_rate": 3e-05,
|
774 |
-
"loss": 0.
|
775 |
"step": 6600
|
776 |
},
|
777 |
{
|
778 |
-
"epoch": 19.
|
779 |
-
"grad_norm": 2.520814895629883,
|
780 |
"learning_rate": 3e-05,
|
781 |
-
"loss": 0.
|
782 |
"step": 6700
|
783 |
},
|
784 |
{
|
785 |
-
"epoch": 19.
|
786 |
-
"grad_norm": 3.1566810607910156,
|
787 |
"learning_rate": 3e-05,
|
788 |
-
"loss":
|
789 |
"step": 6800
|
790 |
},
|
791 |
{
|
792 |
"epoch": 20.0,
|
793 |
-
"eval_accuracy": 0.
|
794 |
-
"eval_loss":
|
795 |
-
"eval_runtime":
|
796 |
-
"eval_samples_per_second":
|
797 |
-
"eval_steps_per_second":
|
798 |
"step": 6830
|
799 |
},
|
800 |
{
|
801 |
"epoch": 20.0,
|
802 |
-
"eval_bleu": 0.
|
803 |
-
"eval_exact_match": 0.
|
804 |
-
"eval_prefix_exact_match": 0.
|
805 |
"step": 6830
|
806 |
},
|
807 |
{
|
808 |
-
"epoch": 20.
|
809 |
-
"grad_norm": 2.937910556793213,
|
810 |
"learning_rate": 3e-05,
|
811 |
-
"loss": 0.
|
812 |
"step": 6900
|
813 |
},
|
814 |
{
|
815 |
-
"epoch": 20.
|
816 |
-
"grad_norm": 3.2016685009002686,
|
817 |
"learning_rate": 3e-05,
|
818 |
-
"loss": 0.
|
819 |
"step": 7000
|
820 |
},
|
821 |
{
|
822 |
-
"epoch": 20.
|
823 |
-
"grad_norm": 3.2996864318847656,
|
824 |
"learning_rate": 3e-05,
|
825 |
-
"loss": 0.
|
826 |
"step": 7100
|
827 |
},
|
828 |
{
|
829 |
-
"epoch":
|
830 |
-
"eval_accuracy": 0.
|
831 |
-
"eval_loss":
|
832 |
-
"eval_runtime":
|
833 |
-
"eval_samples_per_second":
|
834 |
-
"eval_steps_per_second":
|
835 |
"step": 7171
|
836 |
},
|
837 |
{
|
838 |
-
"epoch":
|
839 |
-
"eval_bleu": 0.
|
840 |
-
"eval_exact_match": 0.
|
841 |
-
"eval_prefix_exact_match": 0.
|
842 |
"step": 7171
|
843 |
},
|
844 |
{
|
845 |
-
"epoch": 21.
|
846 |
-
"grad_norm": 3.4803571701049805,
|
847 |
"learning_rate": 3e-05,
|
848 |
-
"loss": 0.
|
849 |
"step": 7200
|
850 |
},
|
851 |
{
|
852 |
-
"epoch": 21.
|
853 |
-
"grad_norm": 2.6315698623657227,
|
854 |
"learning_rate": 3e-05,
|
855 |
-
"loss": 0.
|
856 |
"step": 7300
|
857 |
},
|
858 |
{
|
859 |
-
"epoch": 21.
|
860 |
-
"grad_norm": 3.0926690101623535,
|
861 |
"learning_rate": 3e-05,
|
862 |
-
"loss": 0.
|
863 |
"step": 7400
|
864 |
},
|
865 |
{
|
866 |
-
"epoch": 21.
|
867 |
-
"grad_norm": 2.9990713596343994,
|
868 |
"learning_rate": 3e-05,
|
869 |
-
"loss": 0.
|
870 |
"step": 7500
|
871 |
},
|
872 |
{
|
873 |
"epoch": 22.0,
|
874 |
-
"eval_accuracy": 0.
|
875 |
-
"eval_loss":
|
876 |
-
"eval_runtime":
|
877 |
-
"eval_samples_per_second":
|
878 |
-
"eval_steps_per_second":
|
879 |
"step": 7513
|
880 |
},
|
881 |
{
|
882 |
"epoch": 22.0,
|
883 |
-
"eval_bleu": 0.
|
884 |
-
"eval_exact_match": 0.
|
885 |
"eval_prefix_exact_match": 0.02,
|
886 |
"step": 7513
|
887 |
},
|
888 |
{
|
889 |
-
"epoch": 22.
|
890 |
-
"grad_norm": 3.2822601795196533,
|
891 |
"learning_rate": 3e-05,
|
892 |
-
"loss": 0.
|
893 |
"step": 7600
|
894 |
},
|
895 |
{
|
896 |
-
"epoch": 22.
|
897 |
-
"grad_norm": 3.4992525577545166,
|
898 |
"learning_rate": 3e-05,
|
899 |
-
"loss": 0.
|
900 |
"step": 7700
|
901 |
},
|
902 |
{
|
903 |
-
"epoch": 22.
|
904 |
-
"grad_norm": 3.7167255878448486,
|
905 |
"learning_rate": 3e-05,
|
906 |
-
"loss": 0.
|
907 |
"step": 7800
|
908 |
},
|
909 |
{
|
910 |
-
"epoch":
|
911 |
-
"eval_accuracy": 0.
|
912 |
-
"eval_loss":
|
913 |
-
"eval_runtime":
|
914 |
-
"eval_samples_per_second":
|
915 |
-
"eval_steps_per_second":
|
916 |
"step": 7854
|
917 |
},
|
918 |
{
|
919 |
-
"epoch":
|
920 |
-
"eval_bleu": 0.
|
921 |
-
"eval_exact_match": 0.
|
922 |
-
"eval_prefix_exact_match": 0.
|
923 |
"step": 7854
|
924 |
},
|
925 |
{
|
926 |
-
"epoch": 23.
|
927 |
-
"grad_norm": 3.3037803173065186,
|
928 |
"learning_rate": 3e-05,
|
929 |
-
"loss": 0.
|
930 |
"step": 7900
|
931 |
},
|
932 |
{
|
933 |
-
"epoch": 23.
|
934 |
-
"grad_norm": 3.446135997772217,
|
935 |
"learning_rate": 3e-05,
|
936 |
-
"loss": 0.
|
937 |
"step": 8000
|
938 |
},
|
939 |
{
|
940 |
-
"epoch": 23.
|
941 |
-
"grad_norm": 3.0248115062713623,
|
942 |
"learning_rate": 3e-05,
|
943 |
-
"loss": 0.
|
944 |
"step": 8100
|
945 |
},
|
946 |
{
|
947 |
"epoch": 24.0,
|
948 |
-
"eval_accuracy": 0.
|
949 |
-
"eval_loss":
|
950 |
-
"eval_runtime":
|
951 |
-
"eval_samples_per_second":
|
952 |
-
"eval_steps_per_second":
|
953 |
"step": 8196
|
954 |
},
|
955 |
{
|
956 |
"epoch": 24.0,
|
957 |
-
"eval_bleu": 0.
|
958 |
-
"eval_exact_match": 0.
|
959 |
-
"eval_prefix_exact_match": 0.
|
960 |
"step": 8196
|
961 |
},
|
962 |
{
|
963 |
-
"epoch": 24.
|
964 |
-
"grad_norm": 3.7103264331817627,
|
965 |
"learning_rate": 3e-05,
|
966 |
-
"loss": 0.
|
967 |
"step": 8200
|
968 |
},
|
969 |
{
|
970 |
-
"epoch": 24.
|
971 |
-
"grad_norm": 4.033411026000977,
|
972 |
"learning_rate": 3e-05,
|
973 |
-
"loss": 0.
|
974 |
"step": 8300
|
975 |
},
|
976 |
{
|
977 |
-
"epoch": 24.
|
978 |
-
"grad_norm": 3.5919322967529297,
|
979 |
"learning_rate": 3e-05,
|
980 |
-
"loss": 0.
|
981 |
"step": 8400
|
982 |
},
|
983 |
{
|
984 |
-
"epoch": 24.
|
985 |
-
"grad_norm": 3.9135005474090576,
|
986 |
"learning_rate": 3e-05,
|
987 |
-
"loss": 0.
|
988 |
"step": 8500
|
989 |
},
|
990 |
{
|
991 |
-
"epoch":
|
992 |
-
"eval_accuracy": 0.
|
993 |
-
"eval_loss":
|
994 |
-
"eval_runtime":
|
995 |
-
"eval_samples_per_second":
|
996 |
-
"eval_steps_per_second":
|
997 |
"step": 8537
|
998 |
},
|
999 |
{
|
1000 |
-
"epoch":
|
1001 |
-
"eval_bleu": 0.
|
1002 |
-
"eval_exact_match": 0.
|
1003 |
-
"eval_prefix_exact_match": 0.
|
1004 |
"step": 8537
|
1005 |
}
|
1006 |
],
|
1007 |
"logging_steps": 100,
|
1008 |
"max_steps": 17050,
|
1009 |
-
"num_input_tokens_seen": 0,
|
1010 |
"num_train_epochs": 50,
|
1011 |
"save_steps": 500,
|
1012 |
-
"
|
1013 |
-
"TrainerControl": {
|
1014 |
-
"args": {
|
1015 |
-
"should_epoch_stop": false,
|
1016 |
-
"should_evaluate": false,
|
1017 |
-
"should_log": false,
|
1018 |
-
"should_save": true,
|
1019 |
-
"should_training_stop": false
|
1020 |
-
},
|
1021 |
-
"attributes": {}
|
1022 |
-
}
|
1023 |
-
},
|
1024 |
-
"total_flos": 7.331304629642199e+17,
|
1025 |
-
"train_batch_size": 1,
|
1026 |
"trial_name": null,
|
1027 |
"trial_params": null
|
1028 |
}
|
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.29,
|
|
|
13 |
"learning_rate": 3e-05,
|
14 |
+
"loss": 1.574,
|
15 |
"step": 100
|
16 |
},
|
17 |
{
|
18 |
+
"epoch": 0.59,
|
|
|
19 |
"learning_rate": 3e-05,
|
20 |
+
"loss": 1.474,
|
21 |
"step": 200
|
22 |
},
|
23 |
{
|
24 |
+
"epoch": 0.88,
|
|
|
25 |
"learning_rate": 3e-05,
|
26 |
+
"loss": 1.4104,
|
27 |
"step": 300
|
28 |
},
|
29 |
{
|
30 |
+
"epoch": 1.0,
|
31 |
+
"eval_accuracy": 0.4536923076923077,
|
32 |
+
"eval_loss": 3.3574578762054443,
|
33 |
+
"eval_runtime": 4.4299,
|
34 |
+
"eval_samples_per_second": 112.869,
|
35 |
+
"eval_steps_per_second": 14.221,
|
36 |
"step": 341
|
37 |
},
|
38 |
{
|
39 |
+
"epoch": 1.0,
|
40 |
+
"eval_bleu": 0.08840557310176213,
|
41 |
+
"eval_exact_match": 0.0,
|
42 |
+
"eval_prefix_exact_match": 0.058,
|
43 |
"step": 341
|
44 |
},
|
45 |
{
|
46 |
+
"epoch": 1.17,
|
|
|
47 |
"learning_rate": 3e-05,
|
48 |
+
"loss": 1.3889,
|
49 |
"step": 400
|
50 |
},
|
51 |
{
|
52 |
+
"epoch": 1.46,
|
|
|
53 |
"learning_rate": 3e-05,
|
54 |
+
"loss": 1.387,
|
55 |
"step": 500
|
56 |
},
|
57 |
{
|
58 |
+
"epoch": 1.76,
|
|
|
59 |
"learning_rate": 3e-05,
|
60 |
+
"loss": 1.389,
|
61 |
"step": 600
|
62 |
},
|
63 |
{
|
64 |
"epoch": 2.0,
|
65 |
+
"eval_accuracy": 0.4543589743589744,
|
66 |
+
"eval_loss": 3.4179794788360596,
|
67 |
+
"eval_runtime": 4.1997,
|
68 |
+
"eval_samples_per_second": 119.055,
|
69 |
+
"eval_steps_per_second": 15.001,
|
70 |
"step": 683
|
71 |
},
|
72 |
{
|
73 |
"epoch": 2.0,
|
74 |
+
"eval_bleu": 0.09820569565497561,
|
75 |
+
"eval_exact_match": 0.0,
|
76 |
+
"eval_prefix_exact_match": 0.056,
|
77 |
"step": 683
|
78 |
},
|
79 |
{
|
80 |
+
"epoch": 2.05,
|
|
|
81 |
"learning_rate": 3e-05,
|
82 |
+
"loss": 1.3725,
|
83 |
"step": 700
|
84 |
},
|
85 |
{
|
86 |
+
"epoch": 2.34,
|
|
|
87 |
"learning_rate": 3e-05,
|
88 |
+
"loss": 1.3588,
|
89 |
"step": 800
|
90 |
},
|
91 |
{
|
92 |
+
"epoch": 2.64,
|
|
|
93 |
"learning_rate": 3e-05,
|
94 |
+
"loss": 1.348,
|
95 |
"step": 900
|
96 |
},
|
97 |
{
|
98 |
+
"epoch": 2.93,
|
|
|
99 |
"learning_rate": 3e-05,
|
100 |
+
"loss": 1.3414,
|
101 |
"step": 1000
|
102 |
},
|
103 |
{
|
104 |
+
"epoch": 3.0,
|
105 |
+
"eval_accuracy": 0.45476923076923076,
|
106 |
+
"eval_loss": 3.511923313140869,
|
107 |
+
"eval_runtime": 4.1985,
|
108 |
+
"eval_samples_per_second": 119.089,
|
109 |
+
"eval_steps_per_second": 15.005,
|
110 |
"step": 1024
|
111 |
},
|
112 |
{
|
113 |
+
"epoch": 3.0,
|
114 |
+
"eval_bleu": 0.09889831624589397,
|
115 |
+
"eval_exact_match": 0.0,
|
116 |
+
"eval_prefix_exact_match": 0.056,
|
117 |
"step": 1024
|
118 |
},
|
119 |
{
|
120 |
+
"epoch": 3.22,
|
|
|
121 |
"learning_rate": 3e-05,
|
122 |
+
"loss": 1.3166,
|
123 |
"step": 1100
|
124 |
},
|
125 |
{
|
126 |
+
"epoch": 3.51,
|
|
|
127 |
"learning_rate": 3e-05,
|
128 |
+
"loss": 1.3035,
|
129 |
"step": 1200
|
130 |
},
|
131 |
{
|
132 |
+
"epoch": 3.81,
|
|
|
133 |
"learning_rate": 3e-05,
|
134 |
+
"loss": 1.3002,
|
135 |
"step": 1300
|
136 |
},
|
137 |
{
|
138 |
"epoch": 4.0,
|
139 |
+
"eval_accuracy": 0.45543589743589746,
|
140 |
+
"eval_loss": 3.5288071632385254,
|
141 |
+
"eval_runtime": 4.4066,
|
142 |
+
"eval_samples_per_second": 113.466,
|
143 |
+
"eval_steps_per_second": 14.297,
|
144 |
"step": 1366
|
145 |
},
|
146 |
{
|
147 |
"epoch": 4.0,
|
148 |
+
"eval_bleu": 0.11209345982903633,
|
149 |
+
"eval_exact_match": 0.0,
|
150 |
+
"eval_prefix_exact_match": 0.054,
|
151 |
"step": 1366
|
152 |
},
|
153 |
{
|
154 |
+
"epoch": 4.1,
|
|
|
155 |
"learning_rate": 3e-05,
|
156 |
+
"loss": 1.2929,
|
157 |
"step": 1400
|
158 |
},
|
159 |
{
|
160 |
+
"epoch": 4.39,
|
|
|
161 |
"learning_rate": 3e-05,
|
162 |
+
"loss": 1.2693,
|
163 |
"step": 1500
|
164 |
},
|
165 |
{
|
166 |
+
"epoch": 4.69,
|
|
|
167 |
"learning_rate": 3e-05,
|
168 |
+
"loss": 1.2697,
|
169 |
"step": 1600
|
170 |
},
|
171 |
{
|
172 |
+
"epoch": 4.98,
|
|
|
173 |
"learning_rate": 3e-05,
|
174 |
+
"loss": 1.2574,
|
175 |
"step": 1700
|
176 |
},
|
177 |
{
|
178 |
+
"epoch": 5.0,
|
179 |
+
"eval_accuracy": 0.45394871794871794,
|
180 |
+
"eval_loss": 3.6893365383148193,
|
181 |
+
"eval_runtime": 4.1122,
|
182 |
+
"eval_samples_per_second": 121.591,
|
183 |
+
"eval_steps_per_second": 15.32,
|
184 |
"step": 1707
|
185 |
},
|
186 |
{
|
187 |
+
"epoch": 5.0,
|
188 |
+
"eval_bleu": 0.12076940663377221,
|
189 |
+
"eval_exact_match": 0.0,
|
190 |
+
"eval_prefix_exact_match": 0.056,
|
191 |
"step": 1707
|
192 |
},
|
193 |
{
|
194 |
+
"epoch": 5.27,
|
|
|
195 |
"learning_rate": 3e-05,
|
196 |
+
"loss": 1.2097,
|
197 |
"step": 1800
|
198 |
},
|
199 |
{
|
200 |
+
"epoch": 5.56,
|
|
|
201 |
"learning_rate": 3e-05,
|
202 |
+
"loss": 1.2188,
|
203 |
"step": 1900
|
204 |
},
|
205 |
{
|
206 |
+
"epoch": 5.86,
|
|
|
207 |
"learning_rate": 3e-05,
|
208 |
+
"loss": 1.2258,
|
209 |
"step": 2000
|
210 |
},
|
211 |
{
|
212 |
"epoch": 6.0,
|
213 |
+
"eval_accuracy": 0.45615384615384613,
|
214 |
+
"eval_loss": 3.725893497467041,
|
215 |
+
"eval_runtime": 4.0989,
|
216 |
+
"eval_samples_per_second": 121.984,
|
217 |
+
"eval_steps_per_second": 15.37,
|
218 |
"step": 2049
|
219 |
},
|
220 |
{
|
221 |
"epoch": 6.0,
|
222 |
+
"eval_bleu": 0.11884272898137646,
|
223 |
+
"eval_exact_match": 0.0,
|
224 |
+
"eval_prefix_exact_match": 0.058,
|
225 |
"step": 2049
|
226 |
},
|
227 |
{
|
228 |
+
"epoch": 6.15,
|
|
|
229 |
"learning_rate": 3e-05,
|
230 |
+
"loss": 1.205,
|
231 |
"step": 2100
|
232 |
},
|
233 |
{
|
234 |
+
"epoch": 6.44,
|
|
|
235 |
"learning_rate": 3e-05,
|
236 |
+
"loss": 1.1643,
|
237 |
"step": 2200
|
238 |
},
|
239 |
{
|
240 |
+
"epoch": 6.73,
|
|
|
241 |
"learning_rate": 3e-05,
|
242 |
+
"loss": 1.1844,
|
243 |
"step": 2300
|
244 |
},
|
245 |
{
|
246 |
+
"epoch": 7.0,
|
247 |
+
"eval_accuracy": 0.45594871794871794,
|
248 |
+
"eval_loss": 3.724449396133423,
|
249 |
+
"eval_runtime": 4.8158,
|
250 |
+
"eval_samples_per_second": 103.825,
|
251 |
+
"eval_steps_per_second": 13.082,
|
252 |
"step": 2390
|
253 |
},
|
254 |
{
|
255 |
+
"epoch": 7.0,
|
256 |
+
"eval_bleu": 0.12407896336995003,
|
257 |
+
"eval_exact_match": 0.0,
|
258 |
+
"eval_prefix_exact_match": 0.048,
|
259 |
"step": 2390
|
260 |
},
|
261 |
{
|
262 |
+
"epoch": 7.03,
|
|
|
263 |
"learning_rate": 3e-05,
|
264 |
+
"loss": 1.1771,
|
265 |
"step": 2400
|
266 |
},
|
267 |
{
|
268 |
+
"epoch": 7.32,
|
|
|
269 |
"learning_rate": 3e-05,
|
270 |
+
"loss": 1.1218,
|
271 |
"step": 2500
|
272 |
},
|
273 |
{
|
274 |
+
"epoch": 7.61,
|
|
|
275 |
"learning_rate": 3e-05,
|
276 |
+
"loss": 1.1491,
|
277 |
"step": 2600
|
278 |
},
|
279 |
{
|
280 |
+
"epoch": 7.91,
|
|
|
281 |
"learning_rate": 3e-05,
|
282 |
+
"loss": 1.1363,
|
283 |
"step": 2700
|
284 |
},
|
285 |
{
|
286 |
"epoch": 8.0,
|
287 |
+
"eval_accuracy": 0.4543589743589744,
|
288 |
+
"eval_loss": 3.8138701915740967,
|
289 |
+
"eval_runtime": 4.1963,
|
290 |
+
"eval_samples_per_second": 119.152,
|
291 |
+
"eval_steps_per_second": 15.013,
|
292 |
"step": 2732
|
293 |
},
|
294 |
{
|
295 |
"epoch": 8.0,
|
296 |
+
"eval_bleu": 0.11947629327387163,
|
297 |
+
"eval_exact_match": 0.0,
|
298 |
+
"eval_prefix_exact_match": 0.046,
|
299 |
"step": 2732
|
300 |
},
|
301 |
{
|
302 |
+
"epoch": 8.2,
|
|
|
303 |
"learning_rate": 3e-05,
|
304 |
+
"loss": 1.0858,
|
305 |
"step": 2800
|
306 |
},
|
307 |
{
|
308 |
+
"epoch": 8.49,
|
|
|
309 |
"learning_rate": 3e-05,
|
310 |
+
"loss": 1.0951,
|
311 |
"step": 2900
|
312 |
},
|
313 |
{
|
314 |
+
"epoch": 8.78,
|
|
|
315 |
"learning_rate": 3e-05,
|
316 |
+
"loss": 1.0903,
|
317 |
"step": 3000
|
318 |
},
|
319 |
{
|
320 |
+
"epoch": 9.0,
|
321 |
+
"eval_accuracy": 0.4524102564102564,
|
322 |
+
"eval_loss": 3.9115548133850098,
|
323 |
+
"eval_runtime": 4.4011,
|
324 |
+
"eval_samples_per_second": 113.609,
|
325 |
+
"eval_steps_per_second": 14.315,
|
326 |
"step": 3073
|
327 |
},
|
328 |
{
|
329 |
+
"epoch": 9.0,
|
330 |
+
"eval_bleu": 0.13426062809240774,
|
331 |
+
"eval_exact_match": 0.0,
|
332 |
+
"eval_prefix_exact_match": 0.034,
|
333 |
"step": 3073
|
334 |
},
|
335 |
{
|
336 |
+
"epoch": 9.08,
|
|
|
337 |
"learning_rate": 3e-05,
|
338 |
+
"loss": 1.0822,
|
339 |
"step": 3100
|
340 |
},
|
341 |
{
|
342 |
+
"epoch": 9.37,
|
|
|
343 |
"learning_rate": 3e-05,
|
344 |
+
"loss": 1.0414,
|
345 |
"step": 3200
|
346 |
},
|
347 |
{
|
348 |
+
"epoch": 9.66,
|
|
|
349 |
"learning_rate": 3e-05,
|
350 |
+
"loss": 1.0563,
|
351 |
"step": 3300
|
352 |
},
|
353 |
{
|
354 |
+
"epoch": 9.96,
|
|
|
355 |
"learning_rate": 3e-05,
|
356 |
+
"loss": 1.0538,
|
357 |
"step": 3400
|
358 |
},
|
359 |
{
|
360 |
"epoch": 10.0,
|
361 |
+
"eval_accuracy": 0.4515897435897436,
|
362 |
+
"eval_loss": 3.92203426361084,
|
363 |
+
"eval_runtime": 4.4105,
|
364 |
+
"eval_samples_per_second": 113.366,
|
365 |
+
"eval_steps_per_second": 14.284,
|
366 |
"step": 3415
|
367 |
},
|
368 |
{
|
369 |
"epoch": 10.0,
|
370 |
+
"eval_bleu": 0.11780869016319889,
|
371 |
+
"eval_exact_match": 0.0,
|
372 |
"eval_prefix_exact_match": 0.032,
|
373 |
"step": 3415
|
374 |
},
|
375 |
{
|
376 |
+
"epoch": 10.25,
|
|
|
377 |
"learning_rate": 3e-05,
|
378 |
+
"loss": 0.991,
|
379 |
"step": 3500
|
380 |
},
|
381 |
{
|
382 |
+
"epoch": 10.54,
|
|
|
383 |
"learning_rate": 3e-05,
|
384 |
+
"loss": 1.0019,
|
385 |
"step": 3600
|
386 |
},
|
387 |
{
|
388 |
+
"epoch": 10.83,
|
|
|
389 |
"learning_rate": 3e-05,
|
390 |
+
"loss": 0.9971,
|
391 |
"step": 3700
|
392 |
},
|
393 |
{
|
394 |
+
"epoch": 11.0,
|
395 |
+
"eval_accuracy": 0.45143589743589746,
|
396 |
+
"eval_loss": 3.967252492904663,
|
397 |
+
"eval_runtime": 4.1003,
|
398 |
+
"eval_samples_per_second": 121.943,
|
399 |
+
"eval_steps_per_second": 15.365,
|
400 |
"step": 3756
|
401 |
},
|
402 |
{
|
403 |
+
"epoch": 11.0,
|
404 |
+
"eval_bleu": 0.12407049349871409,
|
405 |
+
"eval_exact_match": 0.0,
|
406 |
"eval_prefix_exact_match": 0.026,
|
407 |
"step": 3756
|
408 |
},
|
409 |
{
|
410 |
+
"epoch": 11.13,
|
|
|
411 |
"learning_rate": 3e-05,
|
412 |
+
"loss": 0.9861,
|
413 |
"step": 3800
|
414 |
},
|
415 |
{
|
416 |
+
"epoch": 11.42,
|
|
|
417 |
"learning_rate": 3e-05,
|
418 |
+
"loss": 0.9436,
|
419 |
"step": 3900
|
420 |
},
|
421 |
{
|
422 |
+
"epoch": 11.71,
|
|
|
423 |
"learning_rate": 3e-05,
|
424 |
+
"loss": 0.9699,
|
425 |
"step": 4000
|
426 |
},
|
427 |
{
|
428 |
"epoch": 12.0,
|
429 |
+
"eval_accuracy": 0.45076923076923076,
|
430 |
+
"eval_loss": 4.033609867095947,
|
431 |
+
"eval_runtime": 4.8103,
|
432 |
+
"eval_samples_per_second": 103.943,
|
433 |
+
"eval_steps_per_second": 13.097,
|
434 |
"step": 4098
|
435 |
},
|
436 |
{
|
437 |
"epoch": 12.0,
|
438 |
+
"eval_bleu": 0.12190601380876163,
|
439 |
+
"eval_exact_match": 0.0,
|
440 |
+
"eval_prefix_exact_match": 0.026,
|
441 |
"step": 4098
|
442 |
},
|
443 |
{
|
444 |
+
"epoch": 12.01,
|
|
|
445 |
"learning_rate": 3e-05,
|
446 |
+
"loss": 0.9783,
|
447 |
"step": 4100
|
448 |
},
|
449 |
{
|
450 |
+
"epoch": 12.3,
|
|
|
451 |
"learning_rate": 3e-05,
|
452 |
+
"loss": 0.9064,
|
453 |
"step": 4200
|
454 |
},
|
455 |
{
|
456 |
+
"epoch": 12.59,
|
|
|
457 |
"learning_rate": 3e-05,
|
458 |
+
"loss": 0.9178,
|
459 |
"step": 4300
|
460 |
},
|
461 |
{
|
462 |
+
"epoch": 12.88,
|
|
|
463 |
"learning_rate": 3e-05,
|
464 |
+
"loss": 0.9235,
|
465 |
"step": 4400
|
466 |
},
|
467 |
{
|
468 |
+
"epoch": 13.0,
|
469 |
+
"eval_accuracy": 0.4492820512820513,
|
470 |
+
"eval_loss": 4.002023696899414,
|
471 |
+
"eval_runtime": 4.8204,
|
472 |
+
"eval_samples_per_second": 103.726,
|
473 |
+
"eval_steps_per_second": 13.069,
|
474 |
"step": 4439
|
475 |
},
|
476 |
{
|
477 |
+
"epoch": 13.0,
|
478 |
+
"eval_bleu": 0.13115986163477472,
|
479 |
+
"eval_exact_match": 0.0,
|
480 |
+
"eval_prefix_exact_match": 0.026,
|
481 |
"step": 4439
|
482 |
},
|
483 |
{
|
484 |
+
"epoch": 13.18,
|
|
|
485 |
"learning_rate": 3e-05,
|
486 |
+
"loss": 0.8902,
|
487 |
"step": 4500
|
488 |
},
|
489 |
{
|
490 |
+
"epoch": 13.47,
|
|
|
491 |
"learning_rate": 3e-05,
|
492 |
+
"loss": 0.8703,
|
493 |
"step": 4600
|
494 |
},
|
495 |
{
|
496 |
+
"epoch": 13.76,
|
|
|
497 |
"learning_rate": 3e-05,
|
498 |
+
"loss": 0.891,
|
499 |
"step": 4700
|
500 |
},
|
501 |
{
|
502 |
"epoch": 14.0,
|
503 |
+
"eval_accuracy": 0.44774358974358974,
|
504 |
+
"eval_loss": 4.071566104888916,
|
505 |
+
"eval_runtime": 4.8316,
|
506 |
+
"eval_samples_per_second": 103.485,
|
507 |
+
"eval_steps_per_second": 13.039,
|
508 |
"step": 4781
|
509 |
},
|
510 |
{
|
511 |
"epoch": 14.0,
|
512 |
+
"eval_bleu": 0.12164300660650715,
|
513 |
+
"eval_exact_match": 0.0,
|
514 |
+
"eval_prefix_exact_match": 0.024,
|
515 |
"step": 4781
|
516 |
},
|
517 |
{
|
518 |
+
"epoch": 14.06,
|
|
|
519 |
"learning_rate": 3e-05,
|
520 |
+
"loss": 0.8698,
|
521 |
"step": 4800
|
522 |
},
|
523 |
{
|
524 |
+
"epoch": 14.35,
|
|
|
525 |
"learning_rate": 3e-05,
|
526 |
+
"loss": 0.8338,
|
527 |
"step": 4900
|
528 |
},
|
529 |
{
|
530 |
+
"epoch": 14.64,
|
|
|
531 |
"learning_rate": 3e-05,
|
532 |
+
"loss": 0.8362,
|
533 |
"step": 5000
|
534 |
},
|
535 |
{
|
536 |
+
"epoch": 14.93,
|
|
|
537 |
"learning_rate": 3e-05,
|
538 |
+
"loss": 0.845,
|
539 |
"step": 5100
|
540 |
},
|
541 |
{
|
542 |
+
"epoch": 15.0,
|
543 |
+
"eval_accuracy": 0.44774358974358974,
|
544 |
+
"eval_loss": 4.09920597076416,
|
545 |
+
"eval_runtime": 4.4174,
|
546 |
+
"eval_samples_per_second": 113.19,
|
547 |
+
"eval_steps_per_second": 14.262,
|
548 |
"step": 5122
|
549 |
},
|
550 |
{
|
551 |
+
"epoch": 15.0,
|
552 |
+
"eval_bleu": 0.1224977607294519,
|
553 |
+
"eval_exact_match": 0.0,
|
554 |
+
"eval_prefix_exact_match": 0.02,
|
555 |
"step": 5122
|
556 |
},
|
557 |
{
|
558 |
+
"epoch": 15.23,
|
|
|
559 |
"learning_rate": 3e-05,
|
560 |
+
"loss": 0.7981,
|
561 |
"step": 5200
|
562 |
},
|
563 |
{
|
564 |
+
"epoch": 15.52,
|
|
|
565 |
"learning_rate": 3e-05,
|
566 |
+
"loss": 0.7978,
|
567 |
"step": 5300
|
568 |
},
|
569 |
{
|
570 |
+
"epoch": 15.81,
|
|
|
571 |
"learning_rate": 3e-05,
|
572 |
+
"loss": 0.8009,
|
573 |
"step": 5400
|
574 |
},
|
575 |
{
|
576 |
"epoch": 16.0,
|
577 |
+
"eval_accuracy": 0.4464102564102564,
|
578 |
+
"eval_loss": 4.093270301818848,
|
579 |
+
"eval_runtime": 4.102,
|
580 |
+
"eval_samples_per_second": 121.892,
|
581 |
+
"eval_steps_per_second": 15.358,
|
582 |
"step": 5464
|
583 |
},
|
584 |
{
|
585 |
"epoch": 16.0,
|
586 |
+
"eval_bleu": 0.12201237729153987,
|
587 |
+
"eval_exact_match": 0.0,
|
588 |
+
"eval_prefix_exact_match": 0.022,
|
589 |
"step": 5464
|
590 |
},
|
591 |
{
|
592 |
+
"epoch": 16.11,
|
|
|
593 |
"learning_rate": 3e-05,
|
594 |
+
"loss": 0.7948,
|
595 |
"step": 5500
|
596 |
},
|
597 |
{
|
598 |
+
"epoch": 16.4,
|
|
|
599 |
"learning_rate": 3e-05,
|
600 |
+
"loss": 0.746,
|
601 |
"step": 5600
|
602 |
},
|
603 |
{
|
604 |
+
"epoch": 16.69,
|
|
|
605 |
"learning_rate": 3e-05,
|
606 |
+
"loss": 0.7627,
|
607 |
"step": 5700
|
608 |
},
|
609 |
{
|
610 |
+
"epoch": 16.98,
|
|
|
611 |
"learning_rate": 3e-05,
|
612 |
+
"loss": 0.782,
|
613 |
"step": 5800
|
614 |
},
|
615 |
{
|
616 |
+
"epoch": 17.0,
|
617 |
+
"eval_accuracy": 0.44671794871794873,
|
618 |
+
"eval_loss": 4.1283488273620605,
|
619 |
+
"eval_runtime": 4.84,
|
620 |
+
"eval_samples_per_second": 103.305,
|
621 |
+
"eval_steps_per_second": 13.016,
|
622 |
"step": 5805
|
623 |
},
|
624 |
{
|
625 |
+
"epoch": 17.0,
|
626 |
+
"eval_bleu": 0.1263852710208009,
|
627 |
+
"eval_exact_match": 0.0,
|
628 |
+
"eval_prefix_exact_match": 0.02,
|
629 |
"step": 5805
|
630 |
},
|
631 |
{
|
632 |
+
"epoch": 17.28,
|
|
|
633 |
"learning_rate": 3e-05,
|
634 |
+
"loss": 0.7142,
|
635 |
"step": 5900
|
636 |
},
|
637 |
{
|
638 |
+
"epoch": 17.57,
|
|
|
639 |
"learning_rate": 3e-05,
|
640 |
+
"loss": 0.7253,
|
641 |
"step": 6000
|
642 |
},
|
643 |
{
|
644 |
+
"epoch": 17.86,
|
|
|
645 |
"learning_rate": 3e-05,
|
646 |
+
"loss": 0.7294,
|
647 |
"step": 6100
|
648 |
},
|
649 |
{
|
650 |
"epoch": 18.0,
|
651 |
+
"eval_accuracy": 0.44564102564102565,
|
652 |
+
"eval_loss": 4.164257049560547,
|
653 |
+
"eval_runtime": 4.1037,
|
654 |
+
"eval_samples_per_second": 121.84,
|
655 |
+
"eval_steps_per_second": 15.352,
|
656 |
"step": 6147
|
657 |
},
|
658 |
{
|
659 |
"epoch": 18.0,
|
660 |
+
"eval_bleu": 0.10715019125675011,
|
661 |
+
"eval_exact_match": 0.0,
|
662 |
+
"eval_prefix_exact_match": 0.022,
|
663 |
"step": 6147
|
664 |
},
|
665 |
{
|
666 |
+
"epoch": 18.16,
|
|
|
667 |
"learning_rate": 3e-05,
|
668 |
+
"loss": 0.7055,
|
669 |
"step": 6200
|
670 |
},
|
671 |
{
|
672 |
+
"epoch": 18.45,
|
|
|
673 |
"learning_rate": 3e-05,
|
674 |
+
"loss": 0.672,
|
675 |
"step": 6300
|
676 |
},
|
677 |
{
|
678 |
+
"epoch": 18.74,
|
|
|
679 |
"learning_rate": 3e-05,
|
680 |
+
"loss": 0.6792,
|
681 |
"step": 6400
|
682 |
},
|
683 |
{
|
684 |
+
"epoch": 19.0,
|
685 |
+
"eval_accuracy": 0.44487179487179485,
|
686 |
+
"eval_loss": 4.185911655426025,
|
687 |
+
"eval_runtime": 4.823,
|
688 |
+
"eval_samples_per_second": 103.67,
|
689 |
+
"eval_steps_per_second": 13.062,
|
690 |
"step": 6488
|
691 |
},
|
692 |
{
|
693 |
+
"epoch": 19.0,
|
694 |
+
"eval_bleu": 0.11314440439431668,
|
695 |
"eval_exact_match": 0.0,
|
696 |
"eval_prefix_exact_match": 0.02,
|
697 |
"step": 6488
|
698 |
},
|
699 |
{
|
700 |
+
"epoch": 19.03,
|
|
|
701 |
"learning_rate": 3e-05,
|
702 |
+
"loss": 0.7053,
|
703 |
"step": 6500
|
704 |
},
|
705 |
{
|
706 |
+
"epoch": 19.33,
|
|
|
707 |
"learning_rate": 3e-05,
|
708 |
+
"loss": 0.6448,
|
709 |
"step": 6600
|
710 |
},
|
711 |
{
|
712 |
+
"epoch": 19.62,
|
|
|
713 |
"learning_rate": 3e-05,
|
714 |
+
"loss": 0.6448,
|
715 |
"step": 6700
|
716 |
},
|
717 |
{
|
718 |
+
"epoch": 19.91,
|
|
|
719 |
"learning_rate": 3e-05,
|
720 |
+
"loss": 0.6672,
|
721 |
"step": 6800
|
722 |
},
|
723 |
{
|
724 |
"epoch": 20.0,
|
725 |
+
"eval_accuracy": 0.4436923076923077,
|
726 |
+
"eval_loss": 4.201004981994629,
|
727 |
+
"eval_runtime": 4.1985,
|
728 |
+
"eval_samples_per_second": 119.09,
|
729 |
+
"eval_steps_per_second": 15.005,
|
730 |
"step": 6830
|
731 |
},
|
732 |
{
|
733 |
"epoch": 20.0,
|
734 |
+
"eval_bleu": 0.11913021835274795,
|
735 |
+
"eval_exact_match": 0.0,
|
736 |
+
"eval_prefix_exact_match": 0.02,
|
737 |
"step": 6830
|
738 |
},
|
739 |
{
|
740 |
+
"epoch": 20.2,
|
|
|
741 |
"learning_rate": 3e-05,
|
742 |
+
"loss": 0.6146,
|
743 |
"step": 6900
|
744 |
},
|
745 |
{
|
746 |
+
"epoch": 20.5,
|
|
|
747 |
"learning_rate": 3e-05,
|
748 |
+
"loss": 0.6102,
|
749 |
"step": 7000
|
750 |
},
|
751 |
{
|
752 |
+
"epoch": 20.79,
|
|
|
753 |
"learning_rate": 3e-05,
|
754 |
+
"loss": 0.6258,
|
755 |
"step": 7100
|
756 |
},
|
757 |
{
|
758 |
+
"epoch": 21.0,
|
759 |
+
"eval_accuracy": 0.4428717948717949,
|
760 |
+
"eval_loss": 4.230019569396973,
|
761 |
+
"eval_runtime": 4.4124,
|
762 |
+
"eval_samples_per_second": 113.318,
|
763 |
+
"eval_steps_per_second": 14.278,
|
764 |
"step": 7171
|
765 |
},
|
766 |
{
|
767 |
+
"epoch": 21.0,
|
768 |
+
"eval_bleu": 0.12133891034082767,
|
769 |
+
"eval_exact_match": 0.0,
|
770 |
+
"eval_prefix_exact_match": 0.022,
|
771 |
"step": 7171
|
772 |
},
|
773 |
{
|
774 |
+
"epoch": 21.08,
|
|
|
775 |
"learning_rate": 3e-05,
|
776 |
+
"loss": 0.6149,
|
777 |
"step": 7200
|
778 |
},
|
779 |
{
|
780 |
+
"epoch": 21.38,
|
|
|
781 |
"learning_rate": 3e-05,
|
782 |
+
"loss": 0.5669,
|
783 |
"step": 7300
|
784 |
},
|
785 |
{
|
786 |
+
"epoch": 21.67,
|
|
|
787 |
"learning_rate": 3e-05,
|
788 |
+
"loss": 0.5923,
|
789 |
"step": 7400
|
790 |
},
|
791 |
{
|
792 |
+
"epoch": 21.96,
|
|
|
793 |
"learning_rate": 3e-05,
|
794 |
+
"loss": 0.599,
|
795 |
"step": 7500
|
796 |
},
|
797 |
{
|
798 |
"epoch": 22.0,
|
799 |
+
"eval_accuracy": 0.4418974358974359,
|
800 |
+
"eval_loss": 4.253176689147949,
|
801 |
+
"eval_runtime": 4.4121,
|
802 |
+
"eval_samples_per_second": 113.326,
|
803 |
+
"eval_steps_per_second": 14.279,
|
804 |
"step": 7513
|
805 |
},
|
806 |
{
|
807 |
"epoch": 22.0,
|
808 |
+
"eval_bleu": 0.1179919389999147,
|
809 |
+
"eval_exact_match": 0.0,
|
810 |
"eval_prefix_exact_match": 0.02,
|
811 |
"step": 7513
|
812 |
},
|
813 |
{
|
814 |
+
"epoch": 22.25,
|
|
|
815 |
"learning_rate": 3e-05,
|
816 |
+
"loss": 0.536,
|
817 |
"step": 7600
|
818 |
},
|
819 |
{
|
820 |
+
"epoch": 22.55,
|
|
|
821 |
"learning_rate": 3e-05,
|
822 |
+
"loss": 0.5479,
|
823 |
"step": 7700
|
824 |
},
|
825 |
{
|
826 |
+
"epoch": 22.84,
|
|
|
827 |
"learning_rate": 3e-05,
|
828 |
+
"loss": 0.5625,
|
829 |
"step": 7800
|
830 |
},
|
831 |
{
|
832 |
+
"epoch": 23.0,
|
833 |
+
"eval_accuracy": 0.443025641025641,
|
834 |
+
"eval_loss": 4.293737411499023,
|
835 |
+
"eval_runtime": 4.4185,
|
836 |
+
"eval_samples_per_second": 113.162,
|
837 |
+
"eval_steps_per_second": 14.258,
|
838 |
"step": 7854
|
839 |
},
|
840 |
{
|
841 |
+
"epoch": 23.0,
|
842 |
+
"eval_bleu": 0.10699095482247514,
|
843 |
+
"eval_exact_match": 0.0,
|
844 |
+
"eval_prefix_exact_match": 0.022,
|
845 |
"step": 7854
|
846 |
},
|
847 |
{
|
848 |
+
"epoch": 23.13,
|
|
|
849 |
"learning_rate": 3e-05,
|
850 |
+
"loss": 0.5409,
|
851 |
"step": 7900
|
852 |
},
|
853 |
{
|
854 |
+
"epoch": 23.43,
|
|
|
855 |
"learning_rate": 3e-05,
|
856 |
+
"loss": 0.5067,
|
857 |
"step": 8000
|
858 |
},
|
859 |
{
|
860 |
+
"epoch": 23.72,
|
|
|
861 |
"learning_rate": 3e-05,
|
862 |
+
"loss": 0.5267,
|
863 |
"step": 8100
|
864 |
},
|
865 |
{
|
866 |
"epoch": 24.0,
|
867 |
+
"eval_accuracy": 0.44153846153846155,
|
868 |
+
"eval_loss": 4.254815578460693,
|
869 |
+
"eval_runtime": 4.2068,
|
870 |
+
"eval_samples_per_second": 118.854,
|
871 |
+
"eval_steps_per_second": 14.976,
|
872 |
"step": 8196
|
873 |
},
|
874 |
{
|
875 |
"epoch": 24.0,
|
876 |
+
"eval_bleu": 0.10975165733539657,
|
877 |
+
"eval_exact_match": 0.0,
|
878 |
+
"eval_prefix_exact_match": 0.024,
|
879 |
"step": 8196
|
880 |
},
|
881 |
{
|
882 |
+
"epoch": 24.01,
|
|
|
883 |
"learning_rate": 3e-05,
|
884 |
+
"loss": 0.5363,
|
885 |
"step": 8200
|
886 |
},
|
887 |
{
|
888 |
+
"epoch": 24.3,
|
|
|
889 |
"learning_rate": 3e-05,
|
890 |
+
"loss": 0.4806,
|
891 |
"step": 8300
|
892 |
},
|
893 |
{
|
894 |
+
"epoch": 24.6,
|
|
|
895 |
"learning_rate": 3e-05,
|
896 |
+
"loss": 0.49,
|
897 |
"step": 8400
|
898 |
},
|
899 |
{
|
900 |
+
"epoch": 24.89,
|
|
|
901 |
"learning_rate": 3e-05,
|
902 |
+
"loss": 0.5004,
|
903 |
"step": 8500
|
904 |
},
|
905 |
{
|
906 |
+
"epoch": 25.0,
|
907 |
+
"eval_accuracy": 0.44035897435897436,
|
908 |
+
"eval_loss": 4.332499027252197,
|
909 |
+
"eval_runtime": 4.4052,
|
910 |
+
"eval_samples_per_second": 113.503,
|
911 |
+
"eval_steps_per_second": 14.301,
|
912 |
"step": 8537
|
913 |
},
|
914 |
{
|
915 |
+
"epoch": 25.0,
|
916 |
+
"eval_bleu": 0.10401238605841524,
|
917 |
+
"eval_exact_match": 0.0,
|
918 |
+
"eval_prefix_exact_match": 0.024,
|
919 |
"step": 8537
|
920 |
}
|
921 |
],
|
922 |
"logging_steps": 100,
|
923 |
"max_steps": 17050,
|
|
|
924 |
"num_train_epochs": 50,
|
925 |
"save_steps": 500,
|
926 |
+
"total_flos": 1.6905304374467625e+18,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
927 |
"trial_name": null,
|
928 |
"trial_params": null
|
929 |
}
|
checkpoint-8537/training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:28a33ee2cb1c54e667d59907eed3cc20ab64c3794314f21d17db553ff2af83d6
|
3 |
+
size 4728
|