Training in progress, epoch 16, checkpoint
Browse files- checkpoint-17428/adapter_config.json +1 -1
- checkpoint-17428/adapter_model.bin +3 -0
- checkpoint-17428/added_tokens.json +3 -3
- checkpoint-17428/optimizer.pt +2 -2
- checkpoint-17428/rng_state_0.pth +1 -1
- checkpoint-17428/rng_state_1.pth +1 -1
- checkpoint-17428/rng_state_2.pth +1 -1
- checkpoint-17428/rng_state_3.pth +1 -1
- checkpoint-17428/special_tokens_map.json +4 -12
- checkpoint-17428/tokenizer.json +0 -0
- checkpoint-17428/tokenizer.model +3 -0
- checkpoint-17428/tokenizer_config.json +17 -20
- checkpoint-17428/trainer_state.json +478 -666
- checkpoint-17428/training_args.bin +2 -2
checkpoint-17428/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-17428/adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fbccc949c921719f56981a54488e4eebc74dbf25b75a1cf7a0faf3845166adc4
|
3 |
+
size 143269386
|
checkpoint-17428/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-17428/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 sha256:1933848ff103d4f0ff5fbe7340c0bac8597f6c9c94a6ecc5100c90e55dad0108
|
3 |
+
size 286585234
|
checkpoint-17428/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:b3da29104047a0f8aea74256a89b1c58d7465755e27716aabfc15a2228e2e93e
|
3 |
size 15024
|
checkpoint-17428/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:dc39083a5502d69b09c9d17fa44983d3506121ab6780dd18dc5b2396e451eeeb
|
3 |
size 15024
|
checkpoint-17428/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:a4f75a6374f1a529f1facf703cc8e1ae8d0fb2cc88c5faa7946531f6c36cc1a0
|
3 |
size 15024
|
checkpoint-17428/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:be4831a3280a035cf2e361459f24890e28935f2e89acef8a48833e7d51e0529b
|
3 |
size 15024
|
checkpoint-17428/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-17428/tokenizer.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-17428/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
checkpoint-17428/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-17428/trainer_state.json
CHANGED
@@ -9,1483 +9,1295 @@
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch": 0.
|
13 |
-
"grad_norm": 0.5307241678237915,
|
14 |
"learning_rate": 3e-05,
|
15 |
-
"loss":
|
16 |
"step": 100
|
17 |
},
|
18 |
{
|
19 |
-
"epoch": 0.
|
20 |
-
"grad_norm": 0.6362708210945129,
|
21 |
"learning_rate": 3e-05,
|
22 |
-
"loss": 1.
|
23 |
"step": 200
|
24 |
},
|
25 |
{
|
26 |
-
"epoch": 0.
|
27 |
-
"grad_norm": 0.3823029696941376,
|
28 |
"learning_rate": 3e-05,
|
29 |
-
"loss": 1.
|
30 |
"step": 300
|
31 |
},
|
32 |
{
|
33 |
-
"epoch": 0.
|
34 |
-
"grad_norm": 0.43036168813705444,
|
35 |
"learning_rate": 3e-05,
|
36 |
-
"loss": 1.
|
37 |
"step": 400
|
38 |
},
|
39 |
{
|
40 |
-
"epoch": 0.
|
41 |
-
"grad_norm": 0.5922847390174866,
|
42 |
"learning_rate": 3e-05,
|
43 |
-
"loss": 1.
|
44 |
"step": 500
|
45 |
},
|
46 |
{
|
47 |
-
"epoch": 0.
|
48 |
-
"grad_norm": 0.40470582246780396,
|
49 |
"learning_rate": 3e-05,
|
50 |
-
"loss": 1.
|
51 |
"step": 600
|
52 |
},
|
53 |
{
|
54 |
-
"epoch": 0.
|
55 |
-
"grad_norm": 0.49739205837249756,
|
56 |
"learning_rate": 3e-05,
|
57 |
-
"loss": 1.
|
58 |
"step": 700
|
59 |
},
|
60 |
{
|
61 |
-
"epoch": 0.
|
62 |
-
"grad_norm": 0.43984296917915344,
|
63 |
"learning_rate": 3e-05,
|
64 |
-
"loss": 1.
|
65 |
"step": 800
|
66 |
},
|
67 |
{
|
68 |
-
"epoch": 0.
|
69 |
-
"grad_norm": 0.4566909968852997,
|
70 |
"learning_rate": 3e-05,
|
71 |
-
"loss": 1.
|
72 |
"step": 900
|
73 |
},
|
74 |
{
|
75 |
-
"epoch": 0.
|
76 |
-
"grad_norm": 0.4243898093700409,
|
77 |
"learning_rate": 3e-05,
|
78 |
-
"loss": 1.
|
79 |
"step": 1000
|
80 |
},
|
81 |
{
|
82 |
-
"epoch": 0
|
83 |
-
"eval_accuracy": 0.
|
84 |
-
"eval_loss":
|
85 |
-
"eval_runtime":
|
86 |
-
"eval_samples_per_second":
|
87 |
-
"eval_steps_per_second":
|
88 |
"step": 1089
|
89 |
},
|
90 |
{
|
91 |
-
"epoch": 0
|
92 |
-
"eval_exact_match":
|
93 |
-
"eval_f1":
|
94 |
"step": 1089
|
95 |
},
|
96 |
{
|
97 |
-
"epoch": 1.
|
98 |
-
"grad_norm": 0.47265738248825073,
|
99 |
"learning_rate": 3e-05,
|
100 |
-
"loss": 1.
|
101 |
"step": 1100
|
102 |
},
|
103 |
{
|
104 |
-
"epoch": 1.
|
105 |
-
"grad_norm": 0.6015958189964294,
|
106 |
"learning_rate": 3e-05,
|
107 |
-
"loss": 1.
|
108 |
"step": 1200
|
109 |
},
|
110 |
{
|
111 |
-
"epoch": 1.
|
112 |
-
"grad_norm": 0.5499740242958069,
|
113 |
"learning_rate": 3e-05,
|
114 |
-
"loss": 1.
|
115 |
"step": 1300
|
116 |
},
|
117 |
{
|
118 |
-
"epoch": 1.
|
119 |
-
"grad_norm": 0.5272372961044312,
|
120 |
"learning_rate": 3e-05,
|
121 |
-
"loss": 1.
|
122 |
"step": 1400
|
123 |
},
|
124 |
{
|
125 |
-
"epoch": 1.
|
126 |
-
"grad_norm": 0.5437406897544861,
|
127 |
"learning_rate": 3e-05,
|
128 |
-
"loss": 1.
|
129 |
"step": 1500
|
130 |
},
|
131 |
{
|
132 |
-
"epoch": 1.
|
133 |
-
"grad_norm": 0.5464481115341187,
|
134 |
"learning_rate": 3e-05,
|
135 |
-
"loss": 1.
|
136 |
"step": 1600
|
137 |
},
|
138 |
{
|
139 |
-
"epoch": 1.
|
140 |
-
"grad_norm": 0.6755242347717285,
|
141 |
"learning_rate": 3e-05,
|
142 |
-
"loss": 1.
|
143 |
"step": 1700
|
144 |
},
|
145 |
{
|
146 |
-
"epoch": 1.
|
147 |
-
"grad_norm": 0.5893722176551819,
|
148 |
"learning_rate": 3e-05,
|
149 |
-
"loss": 1.
|
150 |
"step": 1800
|
151 |
},
|
152 |
{
|
153 |
-
"epoch": 1.
|
154 |
-
"grad_norm": 0.5930923223495483,
|
155 |
"learning_rate": 3e-05,
|
156 |
-
"loss": 1.
|
157 |
"step": 1900
|
158 |
},
|
159 |
{
|
160 |
-
"epoch": 1.
|
161 |
-
"grad_norm": 0.5917518734931946,
|
162 |
"learning_rate": 3e-05,
|
163 |
-
"loss": 1.
|
164 |
"step": 2000
|
165 |
},
|
166 |
{
|
167 |
-
"epoch": 1.
|
168 |
-
"grad_norm": 0.6680920124053955,
|
169 |
"learning_rate": 3e-05,
|
170 |
-
"loss": 1.
|
171 |
"step": 2100
|
172 |
},
|
173 |
{
|
174 |
-
"epoch":
|
175 |
-
"eval_accuracy": 0.
|
176 |
-
"eval_loss":
|
177 |
-
"eval_runtime":
|
178 |
-
"eval_samples_per_second":
|
179 |
-
"eval_steps_per_second":
|
180 |
"step": 2178
|
181 |
},
|
182 |
{
|
183 |
-
"epoch":
|
184 |
-
"eval_exact_match":
|
185 |
-
"eval_f1":
|
186 |
"step": 2178
|
187 |
},
|
188 |
{
|
189 |
-
"epoch": 2.
|
190 |
-
"grad_norm": 0.6736780405044556,
|
191 |
"learning_rate": 3e-05,
|
192 |
-
"loss": 1.
|
193 |
"step": 2200
|
194 |
},
|
195 |
{
|
196 |
-
"epoch": 2.
|
197 |
-
"grad_norm": 0.7276094555854797,
|
198 |
"learning_rate": 3e-05,
|
199 |
-
"loss": 1.
|
200 |
"step": 2300
|
201 |
},
|
202 |
{
|
203 |
-
"epoch": 2.
|
204 |
-
"grad_norm": 0.7279476523399353,
|
205 |
"learning_rate": 3e-05,
|
206 |
-
"loss": 1.
|
207 |
"step": 2400
|
208 |
},
|
209 |
{
|
210 |
-
"epoch": 2.
|
211 |
-
"grad_norm": 0.7652662992477417,
|
212 |
"learning_rate": 3e-05,
|
213 |
-
"loss": 1.
|
214 |
"step": 2500
|
215 |
},
|
216 |
{
|
217 |
-
"epoch": 2.
|
218 |
-
"grad_norm": 0.6291841268539429,
|
219 |
"learning_rate": 3e-05,
|
220 |
-
"loss": 1.
|
221 |
"step": 2600
|
222 |
},
|
223 |
{
|
224 |
-
"epoch": 2.
|
225 |
-
"grad_norm": 0.7375943660736084,
|
226 |
"learning_rate": 3e-05,
|
227 |
-
"loss": 1.
|
228 |
"step": 2700
|
229 |
},
|
230 |
{
|
231 |
-
"epoch": 2.
|
232 |
-
"grad_norm": 0.7475445866584778,
|
233 |
"learning_rate": 3e-05,
|
234 |
-
"loss": 1.
|
235 |
"step": 2800
|
236 |
},
|
237 |
{
|
238 |
-
"epoch": 2.
|
239 |
-
"grad_norm": 5.488095283508301,
|
240 |
"learning_rate": 3e-05,
|
241 |
-
"loss": 1.
|
242 |
"step": 2900
|
243 |
},
|
244 |
{
|
245 |
-
"epoch": 2.
|
246 |
-
"grad_norm": 11046773.0,
|
247 |
"learning_rate": 3e-05,
|
248 |
-
"loss":
|
249 |
"step": 3000
|
250 |
},
|
251 |
{
|
252 |
-
"epoch": 2.
|
253 |
-
"grad_norm": 9348.0419921875,
|
254 |
"learning_rate": 3e-05,
|
255 |
-
"loss":
|
256 |
"step": 3100
|
257 |
},
|
258 |
{
|
259 |
-
"epoch": 2.
|
260 |
-
"grad_norm": 42427.7578125,
|
261 |
"learning_rate": 3e-05,
|
262 |
-
"loss":
|
263 |
"step": 3200
|
264 |
},
|
265 |
{
|
266 |
-
"epoch":
|
267 |
-
"eval_accuracy": 0.
|
268 |
-
"eval_loss":
|
269 |
-
"eval_runtime":
|
270 |
-
"eval_samples_per_second":
|
271 |
-
"eval_steps_per_second":
|
272 |
"step": 3267
|
273 |
},
|
274 |
{
|
275 |
-
"epoch":
|
276 |
-
"eval_exact_match":
|
277 |
-
"eval_f1":
|
278 |
"step": 3267
|
279 |
},
|
280 |
{
|
281 |
-
"epoch": 3.
|
282 |
-
"grad_norm": 69864.046875,
|
283 |
"learning_rate": 3e-05,
|
284 |
-
"loss":
|
285 |
"step": 3300
|
286 |
},
|
287 |
{
|
288 |
-
"epoch": 3.
|
289 |
-
"grad_norm": 763.395263671875,
|
290 |
"learning_rate": 3e-05,
|
291 |
-
"loss":
|
292 |
"step": 3400
|
293 |
},
|
294 |
{
|
295 |
-
"epoch": 3.
|
296 |
-
"grad_norm": 297052.0625,
|
297 |
"learning_rate": 3e-05,
|
298 |
-
"loss":
|
299 |
"step": 3500
|
300 |
},
|
301 |
{
|
302 |
-
"epoch": 3.
|
303 |
-
"grad_norm": 327590.21875,
|
304 |
"learning_rate": 3e-05,
|
305 |
-
"loss":
|
306 |
"step": 3600
|
307 |
},
|
308 |
{
|
309 |
-
"epoch": 3.
|
310 |
-
"grad_norm": 35.1007080078125,
|
311 |
"learning_rate": 3e-05,
|
312 |
-
"loss":
|
313 |
"step": 3700
|
314 |
},
|
315 |
{
|
316 |
-
"epoch": 3.
|
317 |
-
"grad_norm": 709.9918823242188,
|
318 |
"learning_rate": 3e-05,
|
319 |
-
"loss":
|
320 |
"step": 3800
|
321 |
},
|
322 |
{
|
323 |
-
"epoch": 3.
|
324 |
-
"grad_norm": 5584611.5,
|
325 |
"learning_rate": 3e-05,
|
326 |
-
"loss":
|
327 |
"step": 3900
|
328 |
},
|
329 |
{
|
330 |
-
"epoch": 3.
|
331 |
-
"grad_norm": 684474.4375,
|
332 |
"learning_rate": 3e-05,
|
333 |
-
"loss":
|
334 |
"step": 4000
|
335 |
},
|
336 |
{
|
337 |
-
"epoch": 3.
|
338 |
-
"grad_norm": 137445040.0,
|
339 |
"learning_rate": 3e-05,
|
340 |
-
"loss":
|
341 |
"step": 4100
|
342 |
},
|
343 |
{
|
344 |
-
"epoch": 3.
|
345 |
-
"grad_norm": 15619359.0,
|
346 |
"learning_rate": 3e-05,
|
347 |
-
"loss":
|
348 |
"step": 4200
|
349 |
},
|
350 |
{
|
351 |
-
"epoch": 3.
|
352 |
-
"grad_norm": 252526384.0,
|
353 |
"learning_rate": 3e-05,
|
354 |
-
"loss":
|
355 |
"step": 4300
|
356 |
},
|
357 |
{
|
358 |
"epoch": 4.0,
|
359 |
-
"eval_accuracy": 0.
|
360 |
-
"eval_loss":
|
361 |
-
"eval_runtime":
|
362 |
-
"eval_samples_per_second":
|
363 |
-
"eval_steps_per_second":
|
364 |
"step": 4357
|
365 |
},
|
366 |
{
|
367 |
"epoch": 4.0,
|
368 |
-
"eval_exact_match":
|
369 |
-
"eval_f1":
|
370 |
"step": 4357
|
371 |
},
|
372 |
{
|
373 |
-
"epoch": 4.
|
374 |
-
"grad_norm": 96136593408.0,
|
375 |
"learning_rate": 3e-05,
|
376 |
-
"loss":
|
377 |
"step": 4400
|
378 |
},
|
379 |
{
|
380 |
-
"epoch": 4.
|
381 |
-
"grad_norm": 1025443364864.0,
|
382 |
"learning_rate": 3e-05,
|
383 |
-
"loss":
|
384 |
"step": 4500
|
385 |
},
|
386 |
{
|
387 |
-
"epoch": 4.
|
388 |
-
"grad_norm": 265109962752.0,
|
389 |
"learning_rate": 3e-05,
|
390 |
-
"loss":
|
391 |
"step": 4600
|
392 |
},
|
393 |
{
|
394 |
-
"epoch": 4.
|
395 |
-
"grad_norm": 3019844.25,
|
396 |
"learning_rate": 3e-05,
|
397 |
-
"loss":
|
398 |
"step": 4700
|
399 |
},
|
400 |
{
|
401 |
-
"epoch": 4.
|
402 |
-
"grad_norm": 118806648.0,
|
403 |
"learning_rate": 3e-05,
|
404 |
-
"loss":
|
405 |
"step": 4800
|
406 |
},
|
407 |
{
|
408 |
-
"epoch": 4.
|
409 |
-
"grad_norm": 14.5001859664917,
|
410 |
"learning_rate": 3e-05,
|
411 |
-
"loss":
|
412 |
"step": 4900
|
413 |
},
|
414 |
{
|
415 |
-
"epoch": 4.
|
416 |
-
"grad_norm": 11.577363014221191,
|
417 |
"learning_rate": 3e-05,
|
418 |
-
"loss":
|
419 |
"step": 5000
|
420 |
},
|
421 |
{
|
422 |
-
"epoch": 4.
|
423 |
-
"grad_norm": 6.0267863273620605,
|
424 |
"learning_rate": 3e-05,
|
425 |
-
"loss":
|
426 |
"step": 5100
|
427 |
},
|
428 |
{
|
429 |
-
"epoch": 4.
|
430 |
-
"grad_norm": 99.47637176513672,
|
431 |
"learning_rate": 3e-05,
|
432 |
-
"loss":
|
433 |
"step": 5200
|
434 |
},
|
435 |
{
|
436 |
-
"epoch": 4.
|
437 |
-
"grad_norm": 4.200494766235352,
|
438 |
"learning_rate": 3e-05,
|
439 |
-
"loss":
|
440 |
"step": 5300
|
441 |
},
|
442 |
{
|
443 |
-
"epoch": 4.
|
444 |
-
"grad_norm": 43.855430603027344,
|
445 |
"learning_rate": 3e-05,
|
446 |
-
"loss":
|
447 |
"step": 5400
|
448 |
},
|
449 |
{
|
450 |
-
"epoch":
|
451 |
-
"eval_accuracy": 0.
|
452 |
-
"eval_loss":
|
453 |
-
"eval_runtime":
|
454 |
-
"eval_samples_per_second":
|
455 |
-
"eval_steps_per_second":
|
456 |
"step": 5446
|
457 |
},
|
458 |
{
|
459 |
-
"epoch":
|
460 |
-
"eval_exact_match":
|
461 |
-
"eval_f1":
|
462 |
"step": 5446
|
463 |
},
|
464 |
{
|
465 |
-
"epoch": 5.
|
466 |
-
"grad_norm": 751.8612060546875,
|
467 |
"learning_rate": 3e-05,
|
468 |
-
"loss":
|
469 |
"step": 5500
|
470 |
},
|
471 |
{
|
472 |
-
"epoch": 5.
|
473 |
-
"grad_norm": 40140.3828125,
|
474 |
"learning_rate": 3e-05,
|
475 |
-
"loss":
|
476 |
"step": 5600
|
477 |
},
|
478 |
{
|
479 |
-
"epoch": 5.
|
480 |
-
"grad_norm": 468036.75,
|
481 |
"learning_rate": 3e-05,
|
482 |
-
"loss":
|
483 |
"step": 5700
|
484 |
},
|
485 |
{
|
486 |
-
"epoch": 5.
|
487 |
-
"grad_norm": 51365.5390625,
|
488 |
"learning_rate": 3e-05,
|
489 |
-
"loss":
|
490 |
"step": 5800
|
491 |
},
|
492 |
{
|
493 |
-
"epoch": 5.
|
494 |
-
"grad_norm": 4080417.5,
|
495 |
"learning_rate": 3e-05,
|
496 |
-
"loss":
|
497 |
"step": 5900
|
498 |
},
|
499 |
{
|
500 |
-
"epoch": 5.
|
501 |
-
"grad_norm": 1536171.625,
|
502 |
"learning_rate": 3e-05,
|
503 |
-
"loss":
|
504 |
"step": 6000
|
505 |
},
|
506 |
{
|
507 |
-
"epoch": 5.
|
508 |
-
"grad_norm": 42693244.0,
|
509 |
"learning_rate": 3e-05,
|
510 |
-
"loss":
|
511 |
"step": 6100
|
512 |
},
|
513 |
{
|
514 |
-
"epoch": 5.
|
515 |
-
"grad_norm": 776647.25,
|
516 |
"learning_rate": 3e-05,
|
517 |
-
"loss":
|
518 |
"step": 6200
|
519 |
},
|
520 |
{
|
521 |
-
"epoch": 5.
|
522 |
-
"grad_norm": 153013.40625,
|
523 |
"learning_rate": 3e-05,
|
524 |
-
"loss":
|
525 |
"step": 6300
|
526 |
},
|
527 |
{
|
528 |
-
"epoch": 5.
|
529 |
-
"grad_norm": 94984.4140625,
|
530 |
"learning_rate": 3e-05,
|
531 |
-
"loss":
|
532 |
"step": 6400
|
533 |
},
|
534 |
{
|
535 |
-
"epoch": 5.
|
536 |
-
"grad_norm": 33103526.0,
|
537 |
"learning_rate": 3e-05,
|
538 |
-
"loss":
|
539 |
"step": 6500
|
540 |
},
|
541 |
{
|
542 |
-
"epoch":
|
543 |
-
"eval_accuracy": 0.
|
544 |
-
"eval_loss":
|
545 |
-
"eval_runtime":
|
546 |
-
"eval_samples_per_second":
|
547 |
-
"eval_steps_per_second":
|
548 |
"step": 6535
|
549 |
},
|
550 |
{
|
551 |
-
"epoch":
|
552 |
-
"eval_exact_match":
|
553 |
-
"eval_f1":
|
554 |
"step": 6535
|
555 |
},
|
556 |
{
|
557 |
-
"epoch": 6.
|
558 |
-
"grad_norm": 33229708.0,
|
559 |
"learning_rate": 3e-05,
|
560 |
-
"loss":
|
561 |
"step": 6600
|
562 |
},
|
563 |
{
|
564 |
-
"epoch": 6.
|
565 |
-
"grad_norm": 769951168.0,
|
566 |
"learning_rate": 3e-05,
|
567 |
-
"loss":
|
568 |
"step": 6700
|
569 |
},
|
570 |
{
|
571 |
-
"epoch": 6.
|
572 |
-
"grad_norm": 2425211904.0,
|
573 |
"learning_rate": 3e-05,
|
574 |
-
"loss":
|
575 |
"step": 6800
|
576 |
},
|
577 |
{
|
578 |
-
"epoch": 6.
|
579 |
-
"grad_norm": 5989025710080.0,
|
580 |
"learning_rate": 3e-05,
|
581 |
-
"loss":
|
582 |
"step": 6900
|
583 |
},
|
584 |
{
|
585 |
-
"epoch": 6.
|
586 |
-
"grad_norm": 175022960.0,
|
587 |
"learning_rate": 3e-05,
|
588 |
-
"loss":
|
589 |
"step": 7000
|
590 |
},
|
591 |
{
|
592 |
-
"epoch": 6.
|
593 |
-
"grad_norm": 6010.58642578125,
|
594 |
"learning_rate": 3e-05,
|
595 |
-
"loss":
|
596 |
"step": 7100
|
597 |
},
|
598 |
{
|
599 |
-
"epoch": 6.
|
600 |
-
"grad_norm": 1003.8111572265625,
|
601 |
"learning_rate": 3e-05,
|
602 |
-
"loss":
|
603 |
"step": 7200
|
604 |
},
|
605 |
{
|
606 |
-
"epoch": 6.
|
607 |
-
"grad_norm": 4030.06787109375,
|
608 |
"learning_rate": 3e-05,
|
609 |
-
"loss":
|
610 |
"step": 7300
|
611 |
},
|
612 |
{
|
613 |
-
"epoch": 6.
|
614 |
-
"grad_norm": 59434.1640625,
|
615 |
"learning_rate": 3e-05,
|
616 |
-
"loss":
|
617 |
"step": 7400
|
618 |
},
|
619 |
{
|
620 |
-
"epoch": 6.
|
621 |
-
"grad_norm": 66880.4609375,
|
622 |
"learning_rate": 3e-05,
|
623 |
-
"loss":
|
624 |
"step": 7500
|
625 |
},
|
626 |
{
|
627 |
-
"epoch": 6.
|
628 |
-
"grad_norm": 4376.875,
|
629 |
"learning_rate": 3e-05,
|
630 |
-
"loss":
|
631 |
"step": 7600
|
632 |
},
|
633 |
{
|
634 |
-
"epoch":
|
635 |
-
"eval_accuracy": 0.
|
636 |
-
"eval_loss":
|
637 |
-
"eval_runtime":
|
638 |
-
"eval_samples_per_second":
|
639 |
-
"eval_steps_per_second":
|
640 |
"step": 7624
|
641 |
},
|
642 |
{
|
643 |
-
"epoch":
|
644 |
-
"eval_exact_match":
|
645 |
-
"eval_f1":
|
646 |
"step": 7624
|
647 |
},
|
648 |
{
|
649 |
-
"epoch": 7.
|
650 |
-
"grad_norm": 1153324.75,
|
651 |
"learning_rate": 3e-05,
|
652 |
-
"loss":
|
653 |
"step": 7700
|
654 |
},
|
655 |
{
|
656 |
-
"epoch": 7.
|
657 |
-
"grad_norm": 184950352.0,
|
658 |
"learning_rate": 3e-05,
|
659 |
-
"loss":
|
660 |
"step": 7800
|
661 |
},
|
662 |
{
|
663 |
-
"epoch": 7.
|
664 |
-
"grad_norm": 153754730496.0,
|
665 |
"learning_rate": 3e-05,
|
666 |
-
"loss":
|
667 |
"step": 7900
|
668 |
},
|
669 |
{
|
670 |
-
"epoch": 7.
|
671 |
-
"grad_norm": 1028478208.0,
|
672 |
"learning_rate": 3e-05,
|
673 |
-
"loss":
|
674 |
"step": 8000
|
675 |
},
|
676 |
{
|
677 |
-
"epoch": 7.
|
678 |
-
"grad_norm": 168327040.0,
|
679 |
"learning_rate": 3e-05,
|
680 |
-
"loss":
|
681 |
"step": 8100
|
682 |
},
|
683 |
{
|
684 |
-
"epoch": 7.
|
685 |
-
"grad_norm": 1722198784.0,
|
686 |
"learning_rate": 3e-05,
|
687 |
-
"loss":
|
688 |
"step": 8200
|
689 |
},
|
690 |
{
|
691 |
-
"epoch": 7.
|
692 |
-
"grad_norm": 159030912.0,
|
693 |
"learning_rate": 3e-05,
|
694 |
-
"loss":
|
695 |
"step": 8300
|
696 |
},
|
697 |
{
|
698 |
-
"epoch": 7.
|
699 |
-
"grad_norm": 196888912.0,
|
700 |
"learning_rate": 3e-05,
|
701 |
-
"loss":
|
702 |
"step": 8400
|
703 |
},
|
704 |
{
|
705 |
-
"epoch": 7.
|
706 |
-
"grad_norm": 6131166720.0,
|
707 |
"learning_rate": 3e-05,
|
708 |
-
"loss":
|
709 |
"step": 8500
|
710 |
},
|
711 |
{
|
712 |
-
"epoch": 7.
|
713 |
-
"grad_norm": 2235290880.0,
|
714 |
"learning_rate": 3e-05,
|
715 |
-
"loss":
|
716 |
"step": 8600
|
717 |
},
|
718 |
{
|
719 |
-
"epoch": 7.
|
720 |
-
"grad_norm": 477273.15625,
|
721 |
"learning_rate": 3e-05,
|
722 |
-
"loss":
|
723 |
"step": 8700
|
724 |
},
|
725 |
{
|
726 |
"epoch": 8.0,
|
727 |
-
"eval_accuracy": 0.
|
728 |
-
"eval_loss":
|
729 |
-
"eval_runtime":
|
730 |
-
"eval_samples_per_second":
|
731 |
-
"eval_steps_per_second":
|
732 |
"step": 8714
|
733 |
},
|
734 |
{
|
735 |
"epoch": 8.0,
|
736 |
-
"eval_exact_match":
|
737 |
-
"eval_f1":
|
738 |
"step": 8714
|
739 |
},
|
740 |
{
|
741 |
-
"epoch": 8.
|
742 |
-
"grad_norm": 124264720.0,
|
743 |
"learning_rate": 3e-05,
|
744 |
-
"loss":
|
745 |
"step": 8800
|
746 |
},
|
747 |
{
|
748 |
-
"epoch": 8.
|
749 |
-
"grad_norm": 5402585.5,
|
750 |
"learning_rate": 3e-05,
|
751 |
-
"loss":
|
752 |
"step": 8900
|
753 |
},
|
754 |
{
|
755 |
-
"epoch": 8.
|
756 |
-
"grad_norm": 128002850816.0,
|
757 |
"learning_rate": 3e-05,
|
758 |
-
"loss":
|
759 |
"step": 9000
|
760 |
},
|
761 |
{
|
762 |
-
"epoch": 8.
|
763 |
-
"grad_norm": 2158333184.0,
|
764 |
"learning_rate": 3e-05,
|
765 |
-
"loss":
|
766 |
"step": 9100
|
767 |
},
|
768 |
{
|
769 |
-
"epoch": 8.
|
770 |
-
"grad_norm": 138844256.0,
|
771 |
"learning_rate": 3e-05,
|
772 |
-
"loss":
|
773 |
"step": 9200
|
774 |
},
|
775 |
{
|
776 |
-
"epoch": 8.
|
777 |
-
"grad_norm": 1801925.875,
|
778 |
"learning_rate": 3e-05,
|
779 |
-
"loss":
|
780 |
"step": 9300
|
781 |
},
|
782 |
{
|
783 |
-
"epoch": 8.
|
784 |
-
"grad_norm": 2586681856.0,
|
785 |
"learning_rate": 3e-05,
|
786 |
-
"loss":
|
787 |
"step": 9400
|
788 |
},
|
789 |
{
|
790 |
-
"epoch": 8.
|
791 |
-
"grad_norm": 164454704.0,
|
792 |
"learning_rate": 3e-05,
|
793 |
-
"loss":
|
794 |
"step": 9500
|
795 |
},
|
796 |
{
|
797 |
-
"epoch": 8.
|
798 |
-
"grad_norm": 1604157.5,
|
799 |
"learning_rate": 3e-05,
|
800 |
-
"loss":
|
801 |
"step": 9600
|
802 |
},
|
803 |
{
|
804 |
-
"epoch": 8.
|
805 |
-
"grad_norm": 845944.5,
|
806 |
"learning_rate": 3e-05,
|
807 |
-
"loss":
|
808 |
"step": 9700
|
809 |
},
|
810 |
{
|
811 |
-
"epoch":
|
812 |
-
"grad_norm": 123345.3125,
|
813 |
"learning_rate": 3e-05,
|
814 |
-
"loss":
|
815 |
"step": 9800
|
816 |
},
|
817 |
{
|
818 |
-
"epoch":
|
819 |
-
"eval_accuracy": 0.
|
820 |
-
"eval_loss":
|
821 |
-
"eval_runtime":
|
822 |
-
"eval_samples_per_second":
|
823 |
-
"eval_steps_per_second": 12.
|
824 |
"step": 9803
|
825 |
},
|
826 |
{
|
827 |
-
"epoch":
|
828 |
-
"eval_exact_match":
|
829 |
-
"eval_f1":
|
830 |
"step": 9803
|
831 |
},
|
832 |
{
|
833 |
-
"epoch": 9.
|
834 |
-
"grad_norm": 4543730.5,
|
835 |
"learning_rate": 3e-05,
|
836 |
-
"loss":
|
837 |
"step": 9900
|
838 |
},
|
839 |
{
|
840 |
-
"epoch": 9.
|
841 |
-
"grad_norm": 204568.890625,
|
842 |
"learning_rate": 3e-05,
|
843 |
-
"loss":
|
844 |
"step": 10000
|
845 |
},
|
846 |
{
|
847 |
-
"epoch": 9.
|
848 |
-
"grad_norm": 10227080.0,
|
849 |
"learning_rate": 3e-05,
|
850 |
-
"loss":
|
851 |
"step": 10100
|
852 |
},
|
853 |
{
|
854 |
-
"epoch": 9.
|
855 |
-
"grad_norm": 20528.154296875,
|
856 |
"learning_rate": 3e-05,
|
857 |
-
"loss":
|
858 |
"step": 10200
|
859 |
},
|
860 |
{
|
861 |
-
"epoch": 9.
|
862 |
-
"grad_norm": 33088.14453125,
|
863 |
"learning_rate": 3e-05,
|
864 |
-
"loss":
|
865 |
"step": 10300
|
866 |
},
|
867 |
{
|
868 |
-
"epoch": 9.
|
869 |
-
"grad_norm": 24437.92578125,
|
870 |
"learning_rate": 3e-05,
|
871 |
-
"loss":
|
872 |
"step": 10400
|
873 |
},
|
874 |
{
|
875 |
-
"epoch": 9.
|
876 |
-
"grad_norm": 3420.399658203125,
|
877 |
"learning_rate": 3e-05,
|
878 |
-
"loss":
|
879 |
"step": 10500
|
880 |
},
|
881 |
{
|
882 |
-
"epoch": 9.
|
883 |
-
"grad_norm": 405.9403381347656,
|
884 |
"learning_rate": 3e-05,
|
885 |
-
"loss":
|
886 |
"step": 10600
|
887 |
},
|
888 |
{
|
889 |
-
"epoch": 9.
|
890 |
-
"grad_norm": 3901.121337890625,
|
891 |
"learning_rate": 3e-05,
|
892 |
-
"loss":
|
893 |
"step": 10700
|
894 |
},
|
895 |
{
|
896 |
-
"epoch": 9.
|
897 |
-
"grad_norm": 1741.5684814453125,
|
898 |
"learning_rate": 3e-05,
|
899 |
-
"loss":
|
900 |
"step": 10800
|
901 |
},
|
902 |
{
|
903 |
-
"epoch":
|
904 |
-
"eval_accuracy": 0.
|
905 |
-
"eval_loss":
|
906 |
-
"eval_runtime":
|
907 |
-
"eval_samples_per_second":
|
908 |
-
"eval_steps_per_second":
|
909 |
"step": 10892
|
910 |
},
|
911 |
{
|
912 |
-
"epoch":
|
913 |
"eval_exact_match": 0.0,
|
914 |
-
"eval_f1":
|
915 |
"step": 10892
|
916 |
},
|
917 |
{
|
918 |
-
"epoch": 10.
|
919 |
-
"grad_norm": 9326.337890625,
|
920 |
"learning_rate": 3e-05,
|
921 |
-
"loss":
|
922 |
"step": 10900
|
923 |
},
|
924 |
{
|
925 |
-
"epoch": 10.
|
926 |
-
"grad_norm": 12598.7568359375,
|
927 |
"learning_rate": 3e-05,
|
928 |
-
"loss":
|
929 |
"step": 11000
|
930 |
},
|
931 |
{
|
932 |
-
"epoch": 10.
|
933 |
-
"grad_norm": 6.796374797821045,
|
934 |
"learning_rate": 3e-05,
|
935 |
-
"loss":
|
936 |
"step": 11100
|
937 |
},
|
938 |
{
|
939 |
-
"epoch": 10.
|
940 |
-
"grad_norm": 29789.6171875,
|
941 |
"learning_rate": 3e-05,
|
942 |
-
"loss":
|
943 |
"step": 11200
|
944 |
},
|
945 |
{
|
946 |
-
"epoch": 10.
|
947 |
-
"grad_norm": 213.58909606933594,
|
948 |
"learning_rate": 3e-05,
|
949 |
-
"loss":
|
950 |
"step": 11300
|
951 |
},
|
952 |
{
|
953 |
-
"epoch": 10.
|
954 |
-
"grad_norm": 1166033.5,
|
955 |
"learning_rate": 3e-05,
|
956 |
-
"loss":
|
957 |
"step": 11400
|
958 |
},
|
959 |
{
|
960 |
-
"epoch": 10.
|
961 |
-
"grad_norm": 3554672.25,
|
962 |
"learning_rate": 3e-05,
|
963 |
-
"loss":
|
964 |
"step": 11500
|
965 |
},
|
966 |
{
|
967 |
-
"epoch": 10.
|
968 |
-
"grad_norm": 10.04858684539795,
|
969 |
"learning_rate": 3e-05,
|
970 |
-
"loss":
|
971 |
"step": 11600
|
972 |
},
|
973 |
{
|
974 |
-
"epoch": 10.
|
975 |
-
"grad_norm": 860045.8125,
|
976 |
"learning_rate": 3e-05,
|
977 |
-
"loss":
|
978 |
"step": 11700
|
979 |
},
|
980 |
{
|
981 |
-
"epoch": 10.
|
982 |
-
"grad_norm": 3906973.0,
|
983 |
"learning_rate": 3e-05,
|
984 |
-
"loss":
|
985 |
"step": 11800
|
986 |
},
|
987 |
{
|
988 |
-
"epoch": 10.
|
989 |
-
"grad_norm": 4682.72265625,
|
990 |
"learning_rate": 3e-05,
|
991 |
-
"loss":
|
992 |
"step": 11900
|
993 |
},
|
994 |
{
|
995 |
-
"epoch":
|
996 |
-
"eval_accuracy": 0.
|
997 |
-
"eval_loss":
|
998 |
-
"eval_runtime":
|
999 |
-
"eval_samples_per_second":
|
1000 |
-
"eval_steps_per_second":
|
1001 |
"step": 11981
|
1002 |
},
|
1003 |
{
|
1004 |
-
"epoch":
|
1005 |
"eval_exact_match": 0.0,
|
1006 |
-
"eval_f1": 0.
|
1007 |
"step": 11981
|
1008 |
},
|
1009 |
{
|
1010 |
-
"epoch": 11.
|
1011 |
-
"grad_norm": 1283400.375,
|
1012 |
"learning_rate": 3e-05,
|
1013 |
-
"loss":
|
1014 |
"step": 12000
|
1015 |
},
|
1016 |
{
|
1017 |
-
"epoch": 11.
|
1018 |
-
"grad_norm": 26411734.0,
|
1019 |
"learning_rate": 3e-05,
|
1020 |
-
"loss":
|
1021 |
"step": 12100
|
1022 |
},
|
1023 |
{
|
1024 |
-
"epoch": 11.
|
1025 |
-
"grad_norm": 16718.0234375,
|
1026 |
"learning_rate": 3e-05,
|
1027 |
-
"loss":
|
1028 |
"step": 12200
|
1029 |
},
|
1030 |
{
|
1031 |
-
"epoch": 11.
|
1032 |
-
"grad_norm": 848.5704956054688,
|
1033 |
"learning_rate": 3e-05,
|
1034 |
-
"loss":
|
1035 |
"step": 12300
|
1036 |
},
|
1037 |
{
|
1038 |
-
"epoch": 11.
|
1039 |
-
"grad_norm": 156.42295837402344,
|
1040 |
"learning_rate": 3e-05,
|
1041 |
-
"loss":
|
1042 |
"step": 12400
|
1043 |
},
|
1044 |
{
|
1045 |
-
"epoch": 11.
|
1046 |
-
"grad_norm": 24240020.0,
|
1047 |
"learning_rate": 3e-05,
|
1048 |
-
"loss":
|
1049 |
"step": 12500
|
1050 |
},
|
1051 |
{
|
1052 |
-
"epoch": 11.
|
1053 |
-
"grad_norm": 60810556.0,
|
1054 |
"learning_rate": 3e-05,
|
1055 |
-
"loss":
|
1056 |
"step": 12600
|
1057 |
},
|
1058 |
{
|
1059 |
-
"epoch": 11.
|
1060 |
-
"grad_norm": 4.380503717183488e+16,
|
1061 |
"learning_rate": 3e-05,
|
1062 |
-
"loss":
|
1063 |
"step": 12700
|
1064 |
},
|
1065 |
{
|
1066 |
-
"epoch": 11.
|
1067 |
-
"grad_norm": 79782666567680.0,
|
1068 |
"learning_rate": 3e-05,
|
1069 |
-
"loss":
|
1070 |
"step": 12800
|
1071 |
},
|
1072 |
{
|
1073 |
-
"epoch": 11.
|
1074 |
-
"grad_norm": 100421464.0,
|
1075 |
"learning_rate": 3e-05,
|
1076 |
-
"loss":
|
1077 |
"step": 12900
|
1078 |
},
|
1079 |
{
|
1080 |
-
"epoch": 11.
|
1081 |
-
"grad_norm": 335482.3125,
|
1082 |
"learning_rate": 3e-05,
|
1083 |
-
"loss":
|
1084 |
"step": 13000
|
1085 |
},
|
1086 |
{
|
1087 |
"epoch": 12.0,
|
1088 |
-
"eval_accuracy": 0.
|
1089 |
-
"eval_loss":
|
1090 |
-
"eval_runtime":
|
1091 |
-
"eval_samples_per_second":
|
1092 |
-
"eval_steps_per_second":
|
1093 |
"step": 13071
|
1094 |
},
|
1095 |
{
|
1096 |
"epoch": 12.0,
|
1097 |
"eval_exact_match": 0.0,
|
1098 |
-
"eval_f1": 0.
|
1099 |
"step": 13071
|
1100 |
},
|
1101 |
{
|
1102 |
-
"epoch": 12.
|
1103 |
-
"grad_norm": 34611664.0,
|
1104 |
"learning_rate": 3e-05,
|
1105 |
-
"loss":
|
1106 |
"step": 13100
|
1107 |
},
|
1108 |
{
|
1109 |
-
"epoch": 12.
|
1110 |
-
"grad_norm": 136696896.0,
|
1111 |
"learning_rate": 3e-05,
|
1112 |
-
"loss":
|
1113 |
"step": 13200
|
1114 |
},
|
1115 |
{
|
1116 |
-
"epoch": 12.
|
1117 |
-
"grad_norm": 7467604992.0,
|
1118 |
"learning_rate": 3e-05,
|
1119 |
-
"loss":
|
1120 |
"step": 13300
|
1121 |
},
|
1122 |
{
|
1123 |
-
"epoch": 12.
|
1124 |
-
"grad_norm": 903450752.0,
|
1125 |
"learning_rate": 3e-05,
|
1126 |
-
"loss":
|
1127 |
"step": 13400
|
1128 |
},
|
1129 |
{
|
1130 |
-
"epoch": 12.
|
1131 |
-
"grad_norm": 389607488.0,
|
1132 |
"learning_rate": 3e-05,
|
1133 |
-
"loss":
|
1134 |
"step": 13500
|
1135 |
},
|
1136 |
{
|
1137 |
-
"epoch": 12.
|
1138 |
-
"grad_norm": 7033111040.0,
|
1139 |
"learning_rate": 3e-05,
|
1140 |
-
"loss":
|
1141 |
"step": 13600
|
1142 |
},
|
1143 |
{
|
1144 |
-
"epoch": 12.
|
1145 |
-
"grad_norm": 24849942.0,
|
1146 |
"learning_rate": 3e-05,
|
1147 |
-
"loss":
|
1148 |
"step": 13700
|
1149 |
},
|
1150 |
{
|
1151 |
-
"epoch": 12.
|
1152 |
-
"grad_norm": 20334586.0,
|
1153 |
"learning_rate": 3e-05,
|
1154 |
-
"loss":
|
1155 |
"step": 13800
|
1156 |
},
|
1157 |
{
|
1158 |
-
"epoch": 12.
|
1159 |
-
"grad_norm": 1128190848.0,
|
1160 |
"learning_rate": 3e-05,
|
1161 |
-
"loss":
|
1162 |
"step": 13900
|
1163 |
},
|
1164 |
{
|
1165 |
-
"epoch": 12.
|
1166 |
-
"grad_norm": 26534666240.0,
|
1167 |
"learning_rate": 3e-05,
|
1168 |
-
"loss":
|
1169 |
"step": 14000
|
1170 |
},
|
1171 |
{
|
1172 |
-
"epoch": 12.
|
1173 |
-
"grad_norm": 1785278496768.0,
|
1174 |
"learning_rate": 3e-05,
|
1175 |
-
"loss":
|
1176 |
"step": 14100
|
1177 |
},
|
1178 |
{
|
1179 |
-
"epoch":
|
1180 |
-
"eval_accuracy": 0.
|
1181 |
-
"eval_loss":
|
1182 |
-
"eval_runtime":
|
1183 |
-
"eval_samples_per_second":
|
1184 |
-
"eval_steps_per_second":
|
1185 |
"step": 14160
|
1186 |
},
|
1187 |
{
|
1188 |
-
"epoch":
|
1189 |
"eval_exact_match": 0.0,
|
1190 |
-
"eval_f1": 0.
|
1191 |
"step": 14160
|
1192 |
},
|
1193 |
{
|
1194 |
-
"epoch": 13.
|
1195 |
-
"grad_norm": 2082756100096.0,
|
1196 |
"learning_rate": 3e-05,
|
1197 |
-
"loss":
|
1198 |
"step": 14200
|
1199 |
},
|
1200 |
{
|
1201 |
-
"epoch": 13.
|
1202 |
-
"grad_norm": 22699044864.0,
|
1203 |
"learning_rate": 3e-05,
|
1204 |
-
"loss":
|
1205 |
"step": 14300
|
1206 |
},
|
1207 |
{
|
1208 |
-
"epoch": 13.
|
1209 |
-
"grad_norm": 636028125184.0,
|
1210 |
"learning_rate": 3e-05,
|
1211 |
-
"loss":
|
1212 |
"step": 14400
|
1213 |
},
|
1214 |
{
|
1215 |
-
"epoch": 13.
|
1216 |
-
"grad_norm": 124859277312.0,
|
1217 |
"learning_rate": 3e-05,
|
1218 |
-
"loss":
|
1219 |
"step": 14500
|
1220 |
},
|
1221 |
{
|
1222 |
-
"epoch": 13.
|
1223 |
-
"grad_norm": 175380627456.0,
|
1224 |
"learning_rate": 3e-05,
|
1225 |
-
"loss":
|
1226 |
"step": 14600
|
1227 |
},
|
1228 |
{
|
1229 |
-
"epoch": 13.
|
1230 |
-
"grad_norm": 369773576192.0,
|
1231 |
"learning_rate": 3e-05,
|
1232 |
-
"loss":
|
1233 |
"step": 14700
|
1234 |
},
|
1235 |
{
|
1236 |
-
"epoch": 13.
|
1237 |
-
"grad_norm": 24862167040.0,
|
1238 |
"learning_rate": 3e-05,
|
1239 |
-
"loss":
|
1240 |
"step": 14800
|
1241 |
},
|
1242 |
{
|
1243 |
-
"epoch": 13.
|
1244 |
-
"grad_norm": 50220883968.0,
|
1245 |
"learning_rate": 3e-05,
|
1246 |
-
"loss":
|
1247 |
"step": 14900
|
1248 |
},
|
1249 |
{
|
1250 |
-
"epoch": 13.
|
1251 |
-
"grad_norm": 225417920512.0,
|
1252 |
"learning_rate": 3e-05,
|
1253 |
-
"loss":
|
1254 |
"step": 15000
|
1255 |
},
|
1256 |
{
|
1257 |
-
"epoch": 13.
|
1258 |
-
"grad_norm": 91464466432.0,
|
1259 |
"learning_rate": 3e-05,
|
1260 |
-
"loss":
|
1261 |
"step": 15100
|
1262 |
},
|
1263 |
{
|
1264 |
-
"epoch": 13.
|
1265 |
-
"grad_norm": 10590986240.0,
|
1266 |
"learning_rate": 3e-05,
|
1267 |
-
"loss":
|
1268 |
"step": 15200
|
1269 |
},
|
1270 |
{
|
1271 |
-
"epoch":
|
1272 |
-
"eval_accuracy": 0.
|
1273 |
-
"eval_loss":
|
1274 |
-
"eval_runtime":
|
1275 |
-
"eval_samples_per_second":
|
1276 |
-
"eval_steps_per_second":
|
1277 |
"step": 15249
|
1278 |
},
|
1279 |
{
|
1280 |
-
"epoch":
|
1281 |
"eval_exact_match": 0.0,
|
1282 |
-
"eval_f1": 0.
|
1283 |
"step": 15249
|
1284 |
},
|
1285 |
{
|
1286 |
-
"epoch": 14.
|
1287 |
-
"grad_norm": 1116.731689453125,
|
1288 |
"learning_rate": 3e-05,
|
1289 |
-
"loss":
|
1290 |
"step": 15300
|
1291 |
},
|
1292 |
{
|
1293 |
-
"epoch": 14.
|
1294 |
-
"grad_norm": 1628687.875,
|
1295 |
"learning_rate": 3e-05,
|
1296 |
-
"loss":
|
1297 |
"step": 15400
|
1298 |
},
|
1299 |
{
|
1300 |
-
"epoch": 14.
|
1301 |
-
"grad_norm": 1284.560791015625,
|
1302 |
"learning_rate": 3e-05,
|
1303 |
-
"loss":
|
1304 |
"step": 15500
|
1305 |
},
|
1306 |
{
|
1307 |
-
"epoch": 14.
|
1308 |
-
"grad_norm": 866471198588928.0,
|
1309 |
"learning_rate": 3e-05,
|
1310 |
-
"loss":
|
1311 |
"step": 15600
|
1312 |
},
|
1313 |
{
|
1314 |
-
"epoch": 14.
|
1315 |
-
"grad_norm": 4296672934887424.0,
|
1316 |
"learning_rate": 3e-05,
|
1317 |
-
"loss":
|
1318 |
"step": 15700
|
1319 |
},
|
1320 |
{
|
1321 |
-
"epoch": 14.
|
1322 |
-
"grad_norm": 1.4875405555073024e+16,
|
1323 |
"learning_rate": 3e-05,
|
1324 |
-
"loss":
|
1325 |
"step": 15800
|
1326 |
},
|
1327 |
{
|
1328 |
-
"epoch": 14.
|
1329 |
-
"grad_norm": 1388941279232.0,
|
1330 |
"learning_rate": 3e-05,
|
1331 |
-
"loss":
|
1332 |
"step": 15900
|
1333 |
},
|
1334 |
{
|
1335 |
-
"epoch": 14.
|
1336 |
-
"grad_norm": 1409362034688.0,
|
1337 |
"learning_rate": 3e-05,
|
1338 |
-
"loss":
|
1339 |
"step": 16000
|
1340 |
},
|
1341 |
{
|
1342 |
-
"epoch": 14.
|
1343 |
-
"grad_norm": 4890259968.0,
|
1344 |
"learning_rate": 3e-05,
|
1345 |
-
"loss":
|
1346 |
"step": 16100
|
1347 |
},
|
1348 |
{
|
1349 |
-
"epoch": 14.
|
1350 |
-
"grad_norm": 15250687524864.0,
|
1351 |
"learning_rate": 3e-05,
|
1352 |
-
"loss":
|
1353 |
"step": 16200
|
1354 |
},
|
1355 |
{
|
1356 |
-
"epoch": 14.
|
1357 |
-
"grad_norm": 8203539968.0,
|
1358 |
"learning_rate": 3e-05,
|
1359 |
-
"loss":
|
1360 |
"step": 16300
|
1361 |
},
|
1362 |
{
|
1363 |
-
"epoch":
|
1364 |
-
"eval_accuracy": 0.
|
1365 |
-
"eval_loss":
|
1366 |
-
"eval_runtime":
|
1367 |
-
"eval_samples_per_second":
|
1368 |
-
"eval_steps_per_second":
|
1369 |
"step": 16338
|
1370 |
},
|
1371 |
{
|
1372 |
-
"epoch":
|
1373 |
"eval_exact_match": 0.0,
|
1374 |
-
"eval_f1": 0.
|
1375 |
"step": 16338
|
1376 |
},
|
1377 |
{
|
1378 |
-
"epoch": 15.
|
1379 |
-
"grad_norm": 828310464.0,
|
1380 |
"learning_rate": 3e-05,
|
1381 |
-
"loss":
|
1382 |
"step": 16400
|
1383 |
},
|
1384 |
{
|
1385 |
-
"epoch": 15.
|
1386 |
-
"grad_norm": 568067031040.0,
|
1387 |
"learning_rate": 3e-05,
|
1388 |
-
"loss":
|
1389 |
"step": 16500
|
1390 |
},
|
1391 |
{
|
1392 |
-
"epoch": 15.
|
1393 |
-
"grad_norm": 1.0880810018144256e+16,
|
1394 |
"learning_rate": 3e-05,
|
1395 |
-
"loss":
|
1396 |
"step": 16600
|
1397 |
},
|
1398 |
{
|
1399 |
-
"epoch": 15.
|
1400 |
-
"grad_norm": 32871582.0,
|
1401 |
"learning_rate": 3e-05,
|
1402 |
-
"loss":
|
1403 |
"step": 16700
|
1404 |
},
|
1405 |
{
|
1406 |
-
"epoch": 15.
|
1407 |
-
"grad_norm": 6865388.0,
|
1408 |
"learning_rate": 3e-05,
|
1409 |
-
"loss":
|
1410 |
"step": 16800
|
1411 |
},
|
1412 |
{
|
1413 |
-
"epoch": 15.
|
1414 |
-
"grad_norm": 49280404.0,
|
1415 |
"learning_rate": 3e-05,
|
1416 |
-
"loss":
|
1417 |
"step": 16900
|
1418 |
},
|
1419 |
{
|
1420 |
-
"epoch": 15.
|
1421 |
-
"grad_norm": 390155370496.0,
|
1422 |
"learning_rate": 3e-05,
|
1423 |
-
"loss":
|
1424 |
"step": 17000
|
1425 |
},
|
1426 |
{
|
1427 |
-
"epoch": 15.
|
1428 |
-
"grad_norm": 290927424.0,
|
1429 |
"learning_rate": 3e-05,
|
1430 |
-
"loss":
|
1431 |
"step": 17100
|
1432 |
},
|
1433 |
{
|
1434 |
-
"epoch": 15.
|
1435 |
-
"grad_norm": 6678533120.0,
|
1436 |
"learning_rate": 3e-05,
|
1437 |
-
"loss":
|
1438 |
"step": 17200
|
1439 |
},
|
1440 |
{
|
1441 |
-
"epoch": 15.
|
1442 |
-
"grad_norm": 35520180.0,
|
1443 |
"learning_rate": 3e-05,
|
1444 |
-
"loss":
|
1445 |
"step": 17300
|
1446 |
},
|
1447 |
{
|
1448 |
-
"epoch": 15.
|
1449 |
-
"grad_norm": 600111680.0,
|
1450 |
"learning_rate": 3e-05,
|
1451 |
-
"loss":
|
1452 |
"step": 17400
|
1453 |
},
|
1454 |
{
|
1455 |
"epoch": 16.0,
|
1456 |
-
"eval_accuracy": 0.
|
1457 |
-
"eval_loss":
|
1458 |
-
"eval_runtime":
|
1459 |
-
"eval_samples_per_second":
|
1460 |
-
"eval_steps_per_second":
|
1461 |
"step": 17428
|
1462 |
},
|
1463 |
{
|
1464 |
"epoch": 16.0,
|
1465 |
"eval_exact_match": 0.0,
|
1466 |
-
"eval_f1": 0.
|
1467 |
"step": 17428
|
1468 |
}
|
1469 |
],
|
1470 |
"logging_steps": 100,
|
1471 |
"max_steps": 54450,
|
1472 |
-
"num_input_tokens_seen": 0,
|
1473 |
"num_train_epochs": 50,
|
1474 |
"save_steps": 500,
|
1475 |
-
"
|
1476 |
-
"TrainerControl": {
|
1477 |
-
"args": {
|
1478 |
-
"should_epoch_stop": false,
|
1479 |
-
"should_evaluate": false,
|
1480 |
-
"should_log": false,
|
1481 |
-
"should_save": true,
|
1482 |
-
"should_training_stop": false
|
1483 |
-
},
|
1484 |
-
"attributes": {}
|
1485 |
-
}
|
1486 |
-
},
|
1487 |
-
"total_flos": 1.2024281860260495e+18,
|
1488 |
-
"train_batch_size": 1,
|
1489 |
"trial_name": null,
|
1490 |
"trial_params": null
|
1491 |
}
|
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.09,
|
|
|
13 |
"learning_rate": 3e-05,
|
14 |
+
"loss": 1.5477,
|
15 |
"step": 100
|
16 |
},
|
17 |
{
|
18 |
+
"epoch": 0.18,
|
|
|
19 |
"learning_rate": 3e-05,
|
20 |
+
"loss": 1.3248,
|
21 |
"step": 200
|
22 |
},
|
23 |
{
|
24 |
+
"epoch": 0.28,
|
|
|
25 |
"learning_rate": 3e-05,
|
26 |
+
"loss": 1.2394,
|
27 |
"step": 300
|
28 |
},
|
29 |
{
|
30 |
+
"epoch": 0.37,
|
|
|
31 |
"learning_rate": 3e-05,
|
32 |
+
"loss": 1.2549,
|
33 |
"step": 400
|
34 |
},
|
35 |
{
|
36 |
+
"epoch": 0.46,
|
|
|
37 |
"learning_rate": 3e-05,
|
38 |
+
"loss": 1.2163,
|
39 |
"step": 500
|
40 |
},
|
41 |
{
|
42 |
+
"epoch": 0.55,
|
|
|
43 |
"learning_rate": 3e-05,
|
44 |
+
"loss": 1.2202,
|
45 |
"step": 600
|
46 |
},
|
47 |
{
|
48 |
+
"epoch": 0.64,
|
|
|
49 |
"learning_rate": 3e-05,
|
50 |
+
"loss": 1.2099,
|
51 |
"step": 700
|
52 |
},
|
53 |
{
|
54 |
+
"epoch": 0.73,
|
|
|
55 |
"learning_rate": 3e-05,
|
56 |
+
"loss": 1.2213,
|
57 |
"step": 800
|
58 |
},
|
59 |
{
|
60 |
+
"epoch": 0.83,
|
|
|
61 |
"learning_rate": 3e-05,
|
62 |
+
"loss": 1.2203,
|
63 |
"step": 900
|
64 |
},
|
65 |
{
|
66 |
+
"epoch": 0.92,
|
|
|
67 |
"learning_rate": 3e-05,
|
68 |
+
"loss": 1.2166,
|
69 |
"step": 1000
|
70 |
},
|
71 |
{
|
72 |
+
"epoch": 1.0,
|
73 |
+
"eval_accuracy": 0.5925822784810126,
|
74 |
+
"eval_loss": 1.858124017715454,
|
75 |
+
"eval_runtime": 4.7843,
|
76 |
+
"eval_samples_per_second": 104.509,
|
77 |
+
"eval_steps_per_second": 13.168,
|
78 |
"step": 1089
|
79 |
},
|
80 |
{
|
81 |
+
"epoch": 1.0,
|
82 |
+
"eval_exact_match": 25.0,
|
83 |
+
"eval_f1": 33.90013632566266,
|
84 |
"step": 1089
|
85 |
},
|
86 |
{
|
87 |
+
"epoch": 1.01,
|
|
|
88 |
"learning_rate": 3e-05,
|
89 |
+
"loss": 1.2141,
|
90 |
"step": 1100
|
91 |
},
|
92 |
{
|
93 |
+
"epoch": 1.1,
|
|
|
94 |
"learning_rate": 3e-05,
|
95 |
+
"loss": 1.2178,
|
96 |
"step": 1200
|
97 |
},
|
98 |
{
|
99 |
+
"epoch": 1.19,
|
|
|
100 |
"learning_rate": 3e-05,
|
101 |
+
"loss": 1.1986,
|
102 |
"step": 1300
|
103 |
},
|
104 |
{
|
105 |
+
"epoch": 1.29,
|
|
|
106 |
"learning_rate": 3e-05,
|
107 |
+
"loss": 1.1903,
|
108 |
"step": 1400
|
109 |
},
|
110 |
{
|
111 |
+
"epoch": 1.38,
|
|
|
112 |
"learning_rate": 3e-05,
|
113 |
+
"loss": 1.1925,
|
114 |
"step": 1500
|
115 |
},
|
116 |
{
|
117 |
+
"epoch": 1.47,
|
|
|
118 |
"learning_rate": 3e-05,
|
119 |
+
"loss": 1.1954,
|
120 |
"step": 1600
|
121 |
},
|
122 |
{
|
123 |
+
"epoch": 1.56,
|
|
|
124 |
"learning_rate": 3e-05,
|
125 |
+
"loss": 1.1859,
|
126 |
"step": 1700
|
127 |
},
|
128 |
{
|
129 |
+
"epoch": 1.65,
|
|
|
130 |
"learning_rate": 3e-05,
|
131 |
+
"loss": 1.1979,
|
132 |
"step": 1800
|
133 |
},
|
134 |
{
|
135 |
+
"epoch": 1.74,
|
|
|
136 |
"learning_rate": 3e-05,
|
137 |
+
"loss": 1.201,
|
138 |
"step": 1900
|
139 |
},
|
140 |
{
|
141 |
+
"epoch": 1.84,
|
|
|
142 |
"learning_rate": 3e-05,
|
143 |
+
"loss": 1.1871,
|
144 |
"step": 2000
|
145 |
},
|
146 |
{
|
147 |
+
"epoch": 1.93,
|
|
|
148 |
"learning_rate": 3e-05,
|
149 |
+
"loss": 1.1949,
|
150 |
"step": 2100
|
151 |
},
|
152 |
{
|
153 |
+
"epoch": 2.0,
|
154 |
+
"eval_accuracy": 0.5960506329113924,
|
155 |
+
"eval_loss": 1.834545373916626,
|
156 |
+
"eval_runtime": 4.5511,
|
157 |
+
"eval_samples_per_second": 109.863,
|
158 |
+
"eval_steps_per_second": 13.843,
|
159 |
"step": 2178
|
160 |
},
|
161 |
{
|
162 |
+
"epoch": 2.0,
|
163 |
+
"eval_exact_match": 25.2,
|
164 |
+
"eval_f1": 34.41373827926461,
|
165 |
"step": 2178
|
166 |
},
|
167 |
{
|
168 |
+
"epoch": 2.02,
|
|
|
169 |
"learning_rate": 3e-05,
|
170 |
+
"loss": 1.1775,
|
171 |
"step": 2200
|
172 |
},
|
173 |
{
|
174 |
+
"epoch": 2.11,
|
|
|
175 |
"learning_rate": 3e-05,
|
176 |
+
"loss": 1.1579,
|
177 |
"step": 2300
|
178 |
},
|
179 |
{
|
180 |
+
"epoch": 2.2,
|
|
|
181 |
"learning_rate": 3e-05,
|
182 |
+
"loss": 1.1678,
|
183 |
"step": 2400
|
184 |
},
|
185 |
{
|
186 |
+
"epoch": 2.3,
|
|
|
187 |
"learning_rate": 3e-05,
|
188 |
+
"loss": 1.1758,
|
189 |
"step": 2500
|
190 |
},
|
191 |
{
|
192 |
+
"epoch": 2.39,
|
|
|
193 |
"learning_rate": 3e-05,
|
194 |
+
"loss": 1.1374,
|
195 |
"step": 2600
|
196 |
},
|
197 |
{
|
198 |
+
"epoch": 2.48,
|
|
|
199 |
"learning_rate": 3e-05,
|
200 |
+
"loss": 1.16,
|
201 |
"step": 2700
|
202 |
},
|
203 |
{
|
204 |
+
"epoch": 2.57,
|
|
|
205 |
"learning_rate": 3e-05,
|
206 |
+
"loss": 1.1647,
|
207 |
"step": 2800
|
208 |
},
|
209 |
{
|
210 |
+
"epoch": 2.66,
|
|
|
211 |
"learning_rate": 3e-05,
|
212 |
+
"loss": 1.1579,
|
213 |
"step": 2900
|
214 |
},
|
215 |
{
|
216 |
+
"epoch": 2.75,
|
|
|
217 |
"learning_rate": 3e-05,
|
218 |
+
"loss": 1.1647,
|
219 |
"step": 3000
|
220 |
},
|
221 |
{
|
222 |
+
"epoch": 2.85,
|
|
|
223 |
"learning_rate": 3e-05,
|
224 |
+
"loss": 1.1581,
|
225 |
"step": 3100
|
226 |
},
|
227 |
{
|
228 |
+
"epoch": 2.94,
|
|
|
229 |
"learning_rate": 3e-05,
|
230 |
+
"loss": 1.1542,
|
231 |
"step": 3200
|
232 |
},
|
233 |
{
|
234 |
+
"epoch": 3.0,
|
235 |
+
"eval_accuracy": 0.596379746835443,
|
236 |
+
"eval_loss": 1.8205524682998657,
|
237 |
+
"eval_runtime": 4.5724,
|
238 |
+
"eval_samples_per_second": 109.352,
|
239 |
+
"eval_steps_per_second": 13.778,
|
240 |
"step": 3267
|
241 |
},
|
242 |
{
|
243 |
+
"epoch": 3.0,
|
244 |
+
"eval_exact_match": 24.6,
|
245 |
+
"eval_f1": 34.42903485403487,
|
246 |
"step": 3267
|
247 |
},
|
248 |
{
|
249 |
+
"epoch": 3.03,
|
|
|
250 |
"learning_rate": 3e-05,
|
251 |
+
"loss": 1.1336,
|
252 |
"step": 3300
|
253 |
},
|
254 |
{
|
255 |
+
"epoch": 3.12,
|
|
|
256 |
"learning_rate": 3e-05,
|
257 |
+
"loss": 1.1112,
|
258 |
"step": 3400
|
259 |
},
|
260 |
{
|
261 |
+
"epoch": 3.21,
|
|
|
262 |
"learning_rate": 3e-05,
|
263 |
+
"loss": 1.123,
|
264 |
"step": 3500
|
265 |
},
|
266 |
{
|
267 |
+
"epoch": 3.31,
|
|
|
268 |
"learning_rate": 3e-05,
|
269 |
+
"loss": 1.1278,
|
270 |
"step": 3600
|
271 |
},
|
272 |
{
|
273 |
+
"epoch": 3.4,
|
|
|
274 |
"learning_rate": 3e-05,
|
275 |
+
"loss": 1.1226,
|
276 |
"step": 3700
|
277 |
},
|
278 |
{
|
279 |
+
"epoch": 3.49,
|
|
|
280 |
"learning_rate": 3e-05,
|
281 |
+
"loss": 1.1132,
|
282 |
"step": 3800
|
283 |
},
|
284 |
{
|
285 |
+
"epoch": 3.58,
|
|
|
286 |
"learning_rate": 3e-05,
|
287 |
+
"loss": 1.1075,
|
288 |
"step": 3900
|
289 |
},
|
290 |
{
|
291 |
+
"epoch": 3.67,
|
|
|
292 |
"learning_rate": 3e-05,
|
293 |
+
"loss": 1.128,
|
294 |
"step": 4000
|
295 |
},
|
296 |
{
|
297 |
+
"epoch": 3.76,
|
|
|
298 |
"learning_rate": 3e-05,
|
299 |
+
"loss": 1.1182,
|
300 |
"step": 4100
|
301 |
},
|
302 |
{
|
303 |
+
"epoch": 3.86,
|
|
|
304 |
"learning_rate": 3e-05,
|
305 |
+
"loss": 1.1288,
|
306 |
"step": 4200
|
307 |
},
|
308 |
{
|
309 |
+
"epoch": 3.95,
|
|
|
310 |
"learning_rate": 3e-05,
|
311 |
+
"loss": 1.1236,
|
312 |
"step": 4300
|
313 |
},
|
314 |
{
|
315 |
"epoch": 4.0,
|
316 |
+
"eval_accuracy": 0.600379746835443,
|
317 |
+
"eval_loss": 1.822967290878296,
|
318 |
+
"eval_runtime": 4.5641,
|
319 |
+
"eval_samples_per_second": 109.55,
|
320 |
+
"eval_steps_per_second": 13.803,
|
321 |
"step": 4357
|
322 |
},
|
323 |
{
|
324 |
"epoch": 4.0,
|
325 |
+
"eval_exact_match": 23.0,
|
326 |
+
"eval_f1": 32.55568709068711,
|
327 |
"step": 4357
|
328 |
},
|
329 |
{
|
330 |
+
"epoch": 4.04,
|
|
|
331 |
"learning_rate": 3e-05,
|
332 |
+
"loss": 1.1034,
|
333 |
"step": 4400
|
334 |
},
|
335 |
{
|
336 |
+
"epoch": 4.13,
|
|
|
337 |
"learning_rate": 3e-05,
|
338 |
+
"loss": 1.0822,
|
339 |
"step": 4500
|
340 |
},
|
341 |
{
|
342 |
+
"epoch": 4.22,
|
|
|
343 |
"learning_rate": 3e-05,
|
344 |
+
"loss": 1.0869,
|
345 |
"step": 4600
|
346 |
},
|
347 |
{
|
348 |
+
"epoch": 4.31,
|
|
|
349 |
"learning_rate": 3e-05,
|
350 |
+
"loss": 1.0813,
|
351 |
"step": 4700
|
352 |
},
|
353 |
{
|
354 |
+
"epoch": 4.41,
|
|
|
355 |
"learning_rate": 3e-05,
|
356 |
+
"loss": 1.081,
|
357 |
"step": 4800
|
358 |
},
|
359 |
{
|
360 |
+
"epoch": 4.5,
|
|
|
361 |
"learning_rate": 3e-05,
|
362 |
+
"loss": 1.1065,
|
363 |
"step": 4900
|
364 |
},
|
365 |
{
|
366 |
+
"epoch": 4.59,
|
|
|
367 |
"learning_rate": 3e-05,
|
368 |
+
"loss": 1.1018,
|
369 |
"step": 5000
|
370 |
},
|
371 |
{
|
372 |
+
"epoch": 4.68,
|
|
|
373 |
"learning_rate": 3e-05,
|
374 |
+
"loss": 1.0737,
|
375 |
"step": 5100
|
376 |
},
|
377 |
{
|
378 |
+
"epoch": 4.77,
|
|
|
379 |
"learning_rate": 3e-05,
|
380 |
+
"loss": 1.0823,
|
381 |
"step": 5200
|
382 |
},
|
383 |
{
|
384 |
+
"epoch": 4.87,
|
|
|
385 |
"learning_rate": 3e-05,
|
386 |
+
"loss": 1.0916,
|
387 |
"step": 5300
|
388 |
},
|
389 |
{
|
390 |
+
"epoch": 4.96,
|
|
|
391 |
"learning_rate": 3e-05,
|
392 |
+
"loss": 1.0989,
|
393 |
"step": 5400
|
394 |
},
|
395 |
{
|
396 |
+
"epoch": 5.0,
|
397 |
+
"eval_accuracy": 0.6035696202531645,
|
398 |
+
"eval_loss": 1.8370839357376099,
|
399 |
+
"eval_runtime": 4.3939,
|
400 |
+
"eval_samples_per_second": 113.795,
|
401 |
+
"eval_steps_per_second": 14.338,
|
402 |
"step": 5446
|
403 |
},
|
404 |
{
|
405 |
+
"epoch": 5.0,
|
406 |
+
"eval_exact_match": 23.8,
|
407 |
+
"eval_f1": 33.387894882894905,
|
408 |
"step": 5446
|
409 |
},
|
410 |
{
|
411 |
+
"epoch": 5.05,
|
|
|
412 |
"learning_rate": 3e-05,
|
413 |
+
"loss": 1.0542,
|
414 |
"step": 5500
|
415 |
},
|
416 |
{
|
417 |
+
"epoch": 5.14,
|
|
|
418 |
"learning_rate": 3e-05,
|
419 |
+
"loss": 1.0188,
|
420 |
"step": 5600
|
421 |
},
|
422 |
{
|
423 |
+
"epoch": 5.23,
|
|
|
424 |
"learning_rate": 3e-05,
|
425 |
+
"loss": 1.0364,
|
426 |
"step": 5700
|
427 |
},
|
428 |
{
|
429 |
+
"epoch": 5.32,
|
|
|
430 |
"learning_rate": 3e-05,
|
431 |
+
"loss": 1.0497,
|
432 |
"step": 5800
|
433 |
},
|
434 |
{
|
435 |
+
"epoch": 5.42,
|
|
|
436 |
"learning_rate": 3e-05,
|
437 |
+
"loss": 1.0561,
|
438 |
"step": 5900
|
439 |
},
|
440 |
{
|
441 |
+
"epoch": 5.51,
|
|
|
442 |
"learning_rate": 3e-05,
|
443 |
+
"loss": 1.0538,
|
444 |
"step": 6000
|
445 |
},
|
446 |
{
|
447 |
+
"epoch": 5.6,
|
|
|
448 |
"learning_rate": 3e-05,
|
449 |
+
"loss": 1.0574,
|
450 |
"step": 6100
|
451 |
},
|
452 |
{
|
453 |
+
"epoch": 5.69,
|
|
|
454 |
"learning_rate": 3e-05,
|
455 |
+
"loss": 1.0468,
|
456 |
"step": 6200
|
457 |
},
|
458 |
{
|
459 |
+
"epoch": 5.78,
|
|
|
460 |
"learning_rate": 3e-05,
|
461 |
+
"loss": 1.0524,
|
462 |
"step": 6300
|
463 |
},
|
464 |
{
|
465 |
+
"epoch": 5.88,
|
|
|
466 |
"learning_rate": 3e-05,
|
467 |
+
"loss": 1.0637,
|
468 |
"step": 6400
|
469 |
},
|
470 |
{
|
471 |
+
"epoch": 5.97,
|
|
|
472 |
"learning_rate": 3e-05,
|
473 |
+
"loss": 1.0543,
|
474 |
"step": 6500
|
475 |
},
|
476 |
{
|
477 |
+
"epoch": 6.0,
|
478 |
+
"eval_accuracy": 0.6021518987341772,
|
479 |
+
"eval_loss": 1.8654963970184326,
|
480 |
+
"eval_runtime": 4.5885,
|
481 |
+
"eval_samples_per_second": 108.969,
|
482 |
+
"eval_steps_per_second": 13.73,
|
483 |
"step": 6535
|
484 |
},
|
485 |
{
|
486 |
+
"epoch": 6.0,
|
487 |
+
"eval_exact_match": 23.4,
|
488 |
+
"eval_f1": 31.89286435786437,
|
489 |
"step": 6535
|
490 |
},
|
491 |
{
|
492 |
+
"epoch": 6.06,
|
|
|
493 |
"learning_rate": 3e-05,
|
494 |
+
"loss": 1.0225,
|
495 |
"step": 6600
|
496 |
},
|
497 |
{
|
498 |
+
"epoch": 6.15,
|
|
|
499 |
"learning_rate": 3e-05,
|
500 |
+
"loss": 1.0118,
|
501 |
"step": 6700
|
502 |
},
|
503 |
{
|
504 |
+
"epoch": 6.24,
|
|
|
505 |
"learning_rate": 3e-05,
|
506 |
+
"loss": 1.0165,
|
507 |
"step": 6800
|
508 |
},
|
509 |
{
|
510 |
+
"epoch": 6.33,
|
|
|
511 |
"learning_rate": 3e-05,
|
512 |
+
"loss": 1.0042,
|
513 |
"step": 6900
|
514 |
},
|
515 |
{
|
516 |
+
"epoch": 6.43,
|
|
|
517 |
"learning_rate": 3e-05,
|
518 |
+
"loss": 1.0064,
|
519 |
"step": 7000
|
520 |
},
|
521 |
{
|
522 |
+
"epoch": 6.52,
|
|
|
523 |
"learning_rate": 3e-05,
|
524 |
+
"loss": 1.0245,
|
525 |
"step": 7100
|
526 |
},
|
527 |
{
|
528 |
+
"epoch": 6.61,
|
|
|
529 |
"learning_rate": 3e-05,
|
530 |
+
"loss": 1.0091,
|
531 |
"step": 7200
|
532 |
},
|
533 |
{
|
534 |
+
"epoch": 6.7,
|
|
|
535 |
"learning_rate": 3e-05,
|
536 |
+
"loss": 1.0259,
|
537 |
"step": 7300
|
538 |
},
|
539 |
{
|
540 |
+
"epoch": 6.79,
|
|
|
541 |
"learning_rate": 3e-05,
|
542 |
+
"loss": 1.0,
|
543 |
"step": 7400
|
544 |
},
|
545 |
{
|
546 |
+
"epoch": 6.89,
|
|
|
547 |
"learning_rate": 3e-05,
|
548 |
+
"loss": 0.995,
|
549 |
"step": 7500
|
550 |
},
|
551 |
{
|
552 |
+
"epoch": 6.98,
|
|
|
553 |
"learning_rate": 3e-05,
|
554 |
+
"loss": 1.0139,
|
555 |
"step": 7600
|
556 |
},
|
557 |
{
|
558 |
+
"epoch": 7.0,
|
559 |
+
"eval_accuracy": 0.592886075949367,
|
560 |
+
"eval_loss": 1.927990198135376,
|
561 |
+
"eval_runtime": 4.6988,
|
562 |
+
"eval_samples_per_second": 106.411,
|
563 |
+
"eval_steps_per_second": 13.408,
|
564 |
"step": 7624
|
565 |
},
|
566 |
{
|
567 |
+
"epoch": 7.0,
|
568 |
+
"eval_exact_match": 23.0,
|
569 |
+
"eval_f1": 32.51321067821068,
|
570 |
"step": 7624
|
571 |
},
|
572 |
{
|
573 |
+
"epoch": 7.07,
|
|
|
574 |
"learning_rate": 3e-05,
|
575 |
+
"loss": 0.9788,
|
576 |
"step": 7700
|
577 |
},
|
578 |
{
|
579 |
+
"epoch": 7.16,
|
|
|
580 |
"learning_rate": 3e-05,
|
581 |
+
"loss": 0.9597,
|
582 |
"step": 7800
|
583 |
},
|
584 |
{
|
585 |
+
"epoch": 7.25,
|
|
|
586 |
"learning_rate": 3e-05,
|
587 |
+
"loss": 0.9623,
|
588 |
"step": 7900
|
589 |
},
|
590 |
{
|
591 |
+
"epoch": 7.34,
|
|
|
592 |
"learning_rate": 3e-05,
|
593 |
+
"loss": 0.9815,
|
594 |
"step": 8000
|
595 |
},
|
596 |
{
|
597 |
+
"epoch": 7.44,
|
|
|
598 |
"learning_rate": 3e-05,
|
599 |
+
"loss": 0.9831,
|
600 |
"step": 8100
|
601 |
},
|
602 |
{
|
603 |
+
"epoch": 7.53,
|
|
|
604 |
"learning_rate": 3e-05,
|
605 |
+
"loss": 0.9762,
|
606 |
"step": 8200
|
607 |
},
|
608 |
{
|
609 |
+
"epoch": 7.62,
|
|
|
610 |
"learning_rate": 3e-05,
|
611 |
+
"loss": 0.9769,
|
612 |
"step": 8300
|
613 |
},
|
614 |
{
|
615 |
+
"epoch": 7.71,
|
|
|
616 |
"learning_rate": 3e-05,
|
617 |
+
"loss": 0.9882,
|
618 |
"step": 8400
|
619 |
},
|
620 |
{
|
621 |
+
"epoch": 7.8,
|
|
|
622 |
"learning_rate": 3e-05,
|
623 |
+
"loss": 0.9736,
|
624 |
"step": 8500
|
625 |
},
|
626 |
{
|
627 |
+
"epoch": 7.9,
|
|
|
628 |
"learning_rate": 3e-05,
|
629 |
+
"loss": 0.9764,
|
630 |
"step": 8600
|
631 |
},
|
632 |
{
|
633 |
+
"epoch": 7.99,
|
|
|
634 |
"learning_rate": 3e-05,
|
635 |
+
"loss": 0.9764,
|
636 |
"step": 8700
|
637 |
},
|
638 |
{
|
639 |
"epoch": 8.0,
|
640 |
+
"eval_accuracy": 0.5912658227848101,
|
641 |
+
"eval_loss": 1.991403579711914,
|
642 |
+
"eval_runtime": 4.6999,
|
643 |
+
"eval_samples_per_second": 106.385,
|
644 |
+
"eval_steps_per_second": 13.404,
|
645 |
"step": 8714
|
646 |
},
|
647 |
{
|
648 |
"epoch": 8.0,
|
649 |
+
"eval_exact_match": 20.8,
|
650 |
+
"eval_f1": 30.54087925962926,
|
651 |
"step": 8714
|
652 |
},
|
653 |
{
|
654 |
+
"epoch": 8.08,
|
|
|
655 |
"learning_rate": 3e-05,
|
656 |
+
"loss": 0.9509,
|
657 |
"step": 8800
|
658 |
},
|
659 |
{
|
660 |
+
"epoch": 8.17,
|
|
|
661 |
"learning_rate": 3e-05,
|
662 |
+
"loss": 0.9319,
|
663 |
"step": 8900
|
664 |
},
|
665 |
{
|
666 |
+
"epoch": 8.26,
|
|
|
667 |
"learning_rate": 3e-05,
|
668 |
+
"loss": 0.9254,
|
669 |
"step": 9000
|
670 |
},
|
671 |
{
|
672 |
+
"epoch": 8.35,
|
|
|
673 |
"learning_rate": 3e-05,
|
674 |
+
"loss": 0.9396,
|
675 |
"step": 9100
|
676 |
},
|
677 |
{
|
678 |
+
"epoch": 8.45,
|
|
|
679 |
"learning_rate": 3e-05,
|
680 |
+
"loss": 0.9439,
|
681 |
"step": 9200
|
682 |
},
|
683 |
{
|
684 |
+
"epoch": 8.54,
|
|
|
685 |
"learning_rate": 3e-05,
|
686 |
+
"loss": 0.9434,
|
687 |
"step": 9300
|
688 |
},
|
689 |
{
|
690 |
+
"epoch": 8.63,
|
|
|
691 |
"learning_rate": 3e-05,
|
692 |
+
"loss": 0.9283,
|
693 |
"step": 9400
|
694 |
},
|
695 |
{
|
696 |
+
"epoch": 8.72,
|
|
|
697 |
"learning_rate": 3e-05,
|
698 |
+
"loss": 0.9409,
|
699 |
"step": 9500
|
700 |
},
|
701 |
{
|
702 |
+
"epoch": 8.81,
|
|
|
703 |
"learning_rate": 3e-05,
|
704 |
+
"loss": 0.9474,
|
705 |
"step": 9600
|
706 |
},
|
707 |
{
|
708 |
+
"epoch": 8.91,
|
|
|
709 |
"learning_rate": 3e-05,
|
710 |
+
"loss": 0.9538,
|
711 |
"step": 9700
|
712 |
},
|
713 |
{
|
714 |
+
"epoch": 9.0,
|
|
|
715 |
"learning_rate": 3e-05,
|
716 |
+
"loss": 0.9351,
|
717 |
"step": 9800
|
718 |
},
|
719 |
{
|
720 |
+
"epoch": 9.0,
|
721 |
+
"eval_accuracy": 0.5909367088607594,
|
722 |
+
"eval_loss": 2.0564663410186768,
|
723 |
+
"eval_runtime": 4.8989,
|
724 |
+
"eval_samples_per_second": 102.064,
|
725 |
+
"eval_steps_per_second": 12.86,
|
726 |
"step": 9803
|
727 |
},
|
728 |
{
|
729 |
+
"epoch": 9.0,
|
730 |
+
"eval_exact_match": 20.2,
|
731 |
+
"eval_f1": 29.28648074148075,
|
732 |
"step": 9803
|
733 |
},
|
734 |
{
|
735 |
+
"epoch": 9.09,
|
|
|
736 |
"learning_rate": 3e-05,
|
737 |
+
"loss": 0.8896,
|
738 |
"step": 9900
|
739 |
},
|
740 |
{
|
741 |
+
"epoch": 9.18,
|
|
|
742 |
"learning_rate": 3e-05,
|
743 |
+
"loss": 0.8923,
|
744 |
"step": 10000
|
745 |
},
|
746 |
{
|
747 |
+
"epoch": 9.27,
|
|
|
748 |
"learning_rate": 3e-05,
|
749 |
+
"loss": 0.9074,
|
750 |
"step": 10100
|
751 |
},
|
752 |
{
|
753 |
+
"epoch": 9.36,
|
|
|
754 |
"learning_rate": 3e-05,
|
755 |
+
"loss": 0.905,
|
756 |
"step": 10200
|
757 |
},
|
758 |
{
|
759 |
+
"epoch": 9.46,
|
|
|
760 |
"learning_rate": 3e-05,
|
761 |
+
"loss": 0.8954,
|
762 |
"step": 10300
|
763 |
},
|
764 |
{
|
765 |
+
"epoch": 9.55,
|
|
|
766 |
"learning_rate": 3e-05,
|
767 |
+
"loss": 0.8953,
|
768 |
"step": 10400
|
769 |
},
|
770 |
{
|
771 |
+
"epoch": 9.64,
|
|
|
772 |
"learning_rate": 3e-05,
|
773 |
+
"loss": 0.8943,
|
774 |
"step": 10500
|
775 |
},
|
776 |
{
|
777 |
+
"epoch": 9.73,
|
|
|
778 |
"learning_rate": 3e-05,
|
779 |
+
"loss": 0.9173,
|
780 |
"step": 10600
|
781 |
},
|
782 |
{
|
783 |
+
"epoch": 9.82,
|
|
|
784 |
"learning_rate": 3e-05,
|
785 |
+
"loss": 0.9148,
|
786 |
"step": 10700
|
787 |
},
|
788 |
{
|
789 |
+
"epoch": 9.92,
|
|
|
790 |
"learning_rate": 3e-05,
|
791 |
+
"loss": 0.9177,
|
792 |
"step": 10800
|
793 |
},
|
794 |
{
|
795 |
+
"epoch": 10.0,
|
796 |
+
"eval_accuracy": 0.5891898734177216,
|
797 |
+
"eval_loss": 2.124812126159668,
|
798 |
+
"eval_runtime": 4.5237,
|
799 |
+
"eval_samples_per_second": 110.528,
|
800 |
+
"eval_steps_per_second": 13.927,
|
801 |
"step": 10892
|
802 |
},
|
803 |
{
|
804 |
+
"epoch": 10.0,
|
805 |
"eval_exact_match": 0.0,
|
806 |
+
"eval_f1": 1.653482807812982,
|
807 |
"step": 10892
|
808 |
},
|
809 |
{
|
810 |
+
"epoch": 10.01,
|
|
|
811 |
"learning_rate": 3e-05,
|
812 |
+
"loss": 0.9157,
|
813 |
"step": 10900
|
814 |
},
|
815 |
{
|
816 |
+
"epoch": 10.1,
|
|
|
817 |
"learning_rate": 3e-05,
|
818 |
+
"loss": 0.8335,
|
819 |
"step": 11000
|
820 |
},
|
821 |
{
|
822 |
+
"epoch": 10.19,
|
|
|
823 |
"learning_rate": 3e-05,
|
824 |
+
"loss": 0.8485,
|
825 |
"step": 11100
|
826 |
},
|
827 |
{
|
828 |
+
"epoch": 10.28,
|
|
|
829 |
"learning_rate": 3e-05,
|
830 |
+
"loss": 0.8712,
|
831 |
"step": 11200
|
832 |
},
|
833 |
{
|
834 |
+
"epoch": 10.37,
|
|
|
835 |
"learning_rate": 3e-05,
|
836 |
+
"loss": 0.869,
|
837 |
"step": 11300
|
838 |
},
|
839 |
{
|
840 |
+
"epoch": 10.47,
|
|
|
841 |
"learning_rate": 3e-05,
|
842 |
+
"loss": 0.8655,
|
843 |
"step": 11400
|
844 |
},
|
845 |
{
|
846 |
+
"epoch": 10.56,
|
|
|
847 |
"learning_rate": 3e-05,
|
848 |
+
"loss": 0.8868,
|
849 |
"step": 11500
|
850 |
},
|
851 |
{
|
852 |
+
"epoch": 10.65,
|
|
|
853 |
"learning_rate": 3e-05,
|
854 |
+
"loss": 0.8775,
|
855 |
"step": 11600
|
856 |
},
|
857 |
{
|
858 |
+
"epoch": 10.74,
|
|
|
859 |
"learning_rate": 3e-05,
|
860 |
+
"loss": 0.8861,
|
861 |
"step": 11700
|
862 |
},
|
863 |
{
|
864 |
+
"epoch": 10.83,
|
|
|
865 |
"learning_rate": 3e-05,
|
866 |
+
"loss": 0.892,
|
867 |
"step": 11800
|
868 |
},
|
869 |
{
|
870 |
+
"epoch": 10.92,
|
|
|
871 |
"learning_rate": 3e-05,
|
872 |
+
"loss": 0.8872,
|
873 |
"step": 11900
|
874 |
},
|
875 |
{
|
876 |
+
"epoch": 11.0,
|
877 |
+
"eval_accuracy": 0.5874683544303797,
|
878 |
+
"eval_loss": 2.2181763648986816,
|
879 |
+
"eval_runtime": 4.6178,
|
880 |
+
"eval_samples_per_second": 108.277,
|
881 |
+
"eval_steps_per_second": 13.643,
|
882 |
"step": 11981
|
883 |
},
|
884 |
{
|
885 |
+
"epoch": 11.0,
|
886 |
"eval_exact_match": 0.0,
|
887 |
+
"eval_f1": 0.014945652173913042,
|
888 |
"step": 11981
|
889 |
},
|
890 |
{
|
891 |
+
"epoch": 11.02,
|
|
|
892 |
"learning_rate": 3e-05,
|
893 |
+
"loss": 0.8808,
|
894 |
"step": 12000
|
895 |
},
|
896 |
{
|
897 |
+
"epoch": 11.11,
|
|
|
898 |
"learning_rate": 3e-05,
|
899 |
+
"loss": 0.8145,
|
900 |
"step": 12100
|
901 |
},
|
902 |
{
|
903 |
+
"epoch": 11.2,
|
|
|
904 |
"learning_rate": 3e-05,
|
905 |
+
"loss": 0.8301,
|
906 |
"step": 12200
|
907 |
},
|
908 |
{
|
909 |
+
"epoch": 11.29,
|
|
|
910 |
"learning_rate": 3e-05,
|
911 |
+
"loss": 0.8281,
|
912 |
"step": 12300
|
913 |
},
|
914 |
{
|
915 |
+
"epoch": 11.38,
|
|
|
916 |
"learning_rate": 3e-05,
|
917 |
+
"loss": 0.8464,
|
918 |
"step": 12400
|
919 |
},
|
920 |
{
|
921 |
+
"epoch": 11.48,
|
|
|
922 |
"learning_rate": 3e-05,
|
923 |
+
"loss": 0.8547,
|
924 |
"step": 12500
|
925 |
},
|
926 |
{
|
927 |
+
"epoch": 11.57,
|
|
|
928 |
"learning_rate": 3e-05,
|
929 |
+
"loss": 0.8424,
|
930 |
"step": 12600
|
931 |
},
|
932 |
{
|
933 |
+
"epoch": 11.66,
|
|
|
934 |
"learning_rate": 3e-05,
|
935 |
+
"loss": 0.8452,
|
936 |
"step": 12700
|
937 |
},
|
938 |
{
|
939 |
+
"epoch": 11.75,
|
|
|
940 |
"learning_rate": 3e-05,
|
941 |
+
"loss": 0.8528,
|
942 |
"step": 12800
|
943 |
},
|
944 |
{
|
945 |
+
"epoch": 11.84,
|
|
|
946 |
"learning_rate": 3e-05,
|
947 |
+
"loss": 0.862,
|
948 |
"step": 12900
|
949 |
},
|
950 |
{
|
951 |
+
"epoch": 11.93,
|
|
|
952 |
"learning_rate": 3e-05,
|
953 |
+
"loss": 0.8458,
|
954 |
"step": 13000
|
955 |
},
|
956 |
{
|
957 |
"epoch": 12.0,
|
958 |
+
"eval_accuracy": 0.5862784810126582,
|
959 |
+
"eval_loss": 2.286332130432129,
|
960 |
+
"eval_runtime": 4.5481,
|
961 |
+
"eval_samples_per_second": 109.935,
|
962 |
+
"eval_steps_per_second": 13.852,
|
963 |
"step": 13071
|
964 |
},
|
965 |
{
|
966 |
"epoch": 12.0,
|
967 |
"eval_exact_match": 0.0,
|
968 |
+
"eval_f1": 0.05640597466324206,
|
969 |
"step": 13071
|
970 |
},
|
971 |
{
|
972 |
+
"epoch": 12.03,
|
|
|
973 |
"learning_rate": 3e-05,
|
974 |
+
"loss": 0.8407,
|
975 |
"step": 13100
|
976 |
},
|
977 |
{
|
978 |
+
"epoch": 12.12,
|
|
|
979 |
"learning_rate": 3e-05,
|
980 |
+
"loss": 0.8103,
|
981 |
"step": 13200
|
982 |
},
|
983 |
{
|
984 |
+
"epoch": 12.21,
|
|
|
985 |
"learning_rate": 3e-05,
|
986 |
+
"loss": 0.8044,
|
987 |
"step": 13300
|
988 |
},
|
989 |
{
|
990 |
+
"epoch": 12.3,
|
|
|
991 |
"learning_rate": 3e-05,
|
992 |
+
"loss": 0.819,
|
993 |
"step": 13400
|
994 |
},
|
995 |
{
|
996 |
+
"epoch": 12.39,
|
|
|
997 |
"learning_rate": 3e-05,
|
998 |
+
"loss": 0.7983,
|
999 |
"step": 13500
|
1000 |
},
|
1001 |
{
|
1002 |
+
"epoch": 12.49,
|
|
|
1003 |
"learning_rate": 3e-05,
|
1004 |
+
"loss": 0.8057,
|
1005 |
"step": 13600
|
1006 |
},
|
1007 |
{
|
1008 |
+
"epoch": 12.58,
|
|
|
1009 |
"learning_rate": 3e-05,
|
1010 |
+
"loss": 0.8133,
|
1011 |
"step": 13700
|
1012 |
},
|
1013 |
{
|
1014 |
+
"epoch": 12.67,
|
|
|
1015 |
"learning_rate": 3e-05,
|
1016 |
+
"loss": 0.8267,
|
1017 |
"step": 13800
|
1018 |
},
|
1019 |
{
|
1020 |
+
"epoch": 12.76,
|
|
|
1021 |
"learning_rate": 3e-05,
|
1022 |
+
"loss": 0.8082,
|
1023 |
"step": 13900
|
1024 |
},
|
1025 |
{
|
1026 |
+
"epoch": 12.85,
|
|
|
1027 |
"learning_rate": 3e-05,
|
1028 |
+
"loss": 0.8316,
|
1029 |
"step": 14000
|
1030 |
},
|
1031 |
{
|
1032 |
+
"epoch": 12.94,
|
|
|
1033 |
"learning_rate": 3e-05,
|
1034 |
+
"loss": 0.8148,
|
1035 |
"step": 14100
|
1036 |
},
|
1037 |
{
|
1038 |
+
"epoch": 13.0,
|
1039 |
+
"eval_accuracy": 0.5842278481012658,
|
1040 |
+
"eval_loss": 2.352457284927368,
|
1041 |
+
"eval_runtime": 4.464,
|
1042 |
+
"eval_samples_per_second": 112.008,
|
1043 |
+
"eval_steps_per_second": 14.113,
|
1044 |
"step": 14160
|
1045 |
},
|
1046 |
{
|
1047 |
+
"epoch": 13.0,
|
1048 |
"eval_exact_match": 0.0,
|
1049 |
+
"eval_f1": 0.08618200930627685,
|
1050 |
"step": 14160
|
1051 |
},
|
1052 |
{
|
1053 |
+
"epoch": 13.04,
|
|
|
1054 |
"learning_rate": 3e-05,
|
1055 |
+
"loss": 0.798,
|
1056 |
"step": 14200
|
1057 |
},
|
1058 |
{
|
1059 |
+
"epoch": 13.13,
|
|
|
1060 |
"learning_rate": 3e-05,
|
1061 |
+
"loss": 0.7788,
|
1062 |
"step": 14300
|
1063 |
},
|
1064 |
{
|
1065 |
+
"epoch": 13.22,
|
|
|
1066 |
"learning_rate": 3e-05,
|
1067 |
+
"loss": 0.7727,
|
1068 |
"step": 14400
|
1069 |
},
|
1070 |
{
|
1071 |
+
"epoch": 13.31,
|
|
|
1072 |
"learning_rate": 3e-05,
|
1073 |
+
"loss": 0.7831,
|
1074 |
"step": 14500
|
1075 |
},
|
1076 |
{
|
1077 |
+
"epoch": 13.4,
|
|
|
1078 |
"learning_rate": 3e-05,
|
1079 |
+
"loss": 0.7901,
|
1080 |
"step": 14600
|
1081 |
},
|
1082 |
{
|
1083 |
+
"epoch": 13.5,
|
|
|
1084 |
"learning_rate": 3e-05,
|
1085 |
+
"loss": 0.7993,
|
1086 |
"step": 14700
|
1087 |
},
|
1088 |
{
|
1089 |
+
"epoch": 13.59,
|
|
|
1090 |
"learning_rate": 3e-05,
|
1091 |
+
"loss": 0.7864,
|
1092 |
"step": 14800
|
1093 |
},
|
1094 |
{
|
1095 |
+
"epoch": 13.68,
|
|
|
1096 |
"learning_rate": 3e-05,
|
1097 |
+
"loss": 0.7813,
|
1098 |
"step": 14900
|
1099 |
},
|
1100 |
{
|
1101 |
+
"epoch": 13.77,
|
|
|
1102 |
"learning_rate": 3e-05,
|
1103 |
+
"loss": 0.8024,
|
1104 |
"step": 15000
|
1105 |
},
|
1106 |
{
|
1107 |
+
"epoch": 13.86,
|
|
|
1108 |
"learning_rate": 3e-05,
|
1109 |
+
"loss": 0.7945,
|
1110 |
"step": 15100
|
1111 |
},
|
1112 |
{
|
1113 |
+
"epoch": 13.95,
|
|
|
1114 |
"learning_rate": 3e-05,
|
1115 |
+
"loss": 0.7955,
|
1116 |
"step": 15200
|
1117 |
},
|
1118 |
{
|
1119 |
+
"epoch": 14.0,
|
1120 |
+
"eval_accuracy": 0.5834177215189873,
|
1121 |
+
"eval_loss": 2.444202184677124,
|
1122 |
+
"eval_runtime": 4.5506,
|
1123 |
+
"eval_samples_per_second": 109.877,
|
1124 |
+
"eval_steps_per_second": 13.844,
|
1125 |
"step": 15249
|
1126 |
},
|
1127 |
{
|
1128 |
+
"epoch": 14.0,
|
1129 |
"eval_exact_match": 0.0,
|
1130 |
+
"eval_f1": 0.04849394305657365,
|
1131 |
"step": 15249
|
1132 |
},
|
1133 |
{
|
1134 |
+
"epoch": 14.05,
|
|
|
1135 |
"learning_rate": 3e-05,
|
1136 |
+
"loss": 0.7808,
|
1137 |
"step": 15300
|
1138 |
},
|
1139 |
{
|
1140 |
+
"epoch": 14.14,
|
|
|
1141 |
"learning_rate": 3e-05,
|
1142 |
+
"loss": 0.752,
|
1143 |
"step": 15400
|
1144 |
},
|
1145 |
{
|
1146 |
+
"epoch": 14.23,
|
|
|
1147 |
"learning_rate": 3e-05,
|
1148 |
+
"loss": 0.7533,
|
1149 |
"step": 15500
|
1150 |
},
|
1151 |
{
|
1152 |
+
"epoch": 14.32,
|
|
|
1153 |
"learning_rate": 3e-05,
|
1154 |
+
"loss": 0.7458,
|
1155 |
"step": 15600
|
1156 |
},
|
1157 |
{
|
1158 |
+
"epoch": 14.41,
|
|
|
1159 |
"learning_rate": 3e-05,
|
1160 |
+
"loss": 0.7527,
|
1161 |
"step": 15700
|
1162 |
},
|
1163 |
{
|
1164 |
+
"epoch": 14.51,
|
|
|
1165 |
"learning_rate": 3e-05,
|
1166 |
+
"loss": 0.7625,
|
1167 |
"step": 15800
|
1168 |
},
|
1169 |
{
|
1170 |
+
"epoch": 14.6,
|
|
|
1171 |
"learning_rate": 3e-05,
|
1172 |
+
"loss": 0.7424,
|
1173 |
"step": 15900
|
1174 |
},
|
1175 |
{
|
1176 |
+
"epoch": 14.69,
|
|
|
1177 |
"learning_rate": 3e-05,
|
1178 |
+
"loss": 0.7618,
|
1179 |
"step": 16000
|
1180 |
},
|
1181 |
{
|
1182 |
+
"epoch": 14.78,
|
|
|
1183 |
"learning_rate": 3e-05,
|
1184 |
+
"loss": 0.7589,
|
1185 |
"step": 16100
|
1186 |
},
|
1187 |
{
|
1188 |
+
"epoch": 14.87,
|
|
|
1189 |
"learning_rate": 3e-05,
|
1190 |
+
"loss": 0.7657,
|
1191 |
"step": 16200
|
1192 |
},
|
1193 |
{
|
1194 |
+
"epoch": 14.96,
|
|
|
1195 |
"learning_rate": 3e-05,
|
1196 |
+
"loss": 0.7765,
|
1197 |
"step": 16300
|
1198 |
},
|
1199 |
{
|
1200 |
+
"epoch": 15.0,
|
1201 |
+
"eval_accuracy": 0.583620253164557,
|
1202 |
+
"eval_loss": 2.4962217807769775,
|
1203 |
+
"eval_runtime": 4.7551,
|
1204 |
+
"eval_samples_per_second": 105.15,
|
1205 |
+
"eval_steps_per_second": 13.249,
|
1206 |
"step": 16338
|
1207 |
},
|
1208 |
{
|
1209 |
+
"epoch": 15.0,
|
1210 |
"eval_exact_match": 0.0,
|
1211 |
+
"eval_f1": 0.013684210526315792,
|
1212 |
"step": 16338
|
1213 |
},
|
1214 |
{
|
1215 |
+
"epoch": 15.06,
|
|
|
1216 |
"learning_rate": 3e-05,
|
1217 |
+
"loss": 0.7377,
|
1218 |
"step": 16400
|
1219 |
},
|
1220 |
{
|
1221 |
+
"epoch": 15.15,
|
|
|
1222 |
"learning_rate": 3e-05,
|
1223 |
+
"loss": 0.7204,
|
1224 |
"step": 16500
|
1225 |
},
|
1226 |
{
|
1227 |
+
"epoch": 15.24,
|
|
|
1228 |
"learning_rate": 3e-05,
|
1229 |
+
"loss": 0.7176,
|
1230 |
"step": 16600
|
1231 |
},
|
1232 |
{
|
1233 |
+
"epoch": 15.33,
|
|
|
1234 |
"learning_rate": 3e-05,
|
1235 |
+
"loss": 0.7164,
|
1236 |
"step": 16700
|
1237 |
},
|
1238 |
{
|
1239 |
+
"epoch": 15.42,
|
|
|
1240 |
"learning_rate": 3e-05,
|
1241 |
+
"loss": 0.7266,
|
1242 |
"step": 16800
|
1243 |
},
|
1244 |
{
|
1245 |
+
"epoch": 15.52,
|
|
|
1246 |
"learning_rate": 3e-05,
|
1247 |
+
"loss": 0.7393,
|
1248 |
"step": 16900
|
1249 |
},
|
1250 |
{
|
1251 |
+
"epoch": 15.61,
|
|
|
1252 |
"learning_rate": 3e-05,
|
1253 |
+
"loss": 0.727,
|
1254 |
"step": 17000
|
1255 |
},
|
1256 |
{
|
1257 |
+
"epoch": 15.7,
|
|
|
1258 |
"learning_rate": 3e-05,
|
1259 |
+
"loss": 0.7364,
|
1260 |
"step": 17100
|
1261 |
},
|
1262 |
{
|
1263 |
+
"epoch": 15.79,
|
|
|
1264 |
"learning_rate": 3e-05,
|
1265 |
+
"loss": 0.7337,
|
1266 |
"step": 17200
|
1267 |
},
|
1268 |
{
|
1269 |
+
"epoch": 15.88,
|
|
|
1270 |
"learning_rate": 3e-05,
|
1271 |
+
"loss": 0.7458,
|
1272 |
"step": 17300
|
1273 |
},
|
1274 |
{
|
1275 |
+
"epoch": 15.97,
|
|
|
1276 |
"learning_rate": 3e-05,
|
1277 |
+
"loss": 0.7412,
|
1278 |
"step": 17400
|
1279 |
},
|
1280 |
{
|
1281 |
"epoch": 16.0,
|
1282 |
+
"eval_accuracy": 0.5817974683544304,
|
1283 |
+
"eval_loss": 2.574023962020874,
|
1284 |
+
"eval_runtime": 4.5479,
|
1285 |
+
"eval_samples_per_second": 109.941,
|
1286 |
+
"eval_steps_per_second": 13.853,
|
1287 |
"step": 17428
|
1288 |
},
|
1289 |
{
|
1290 |
"epoch": 16.0,
|
1291 |
"eval_exact_match": 0.0,
|
1292 |
+
"eval_f1": 0.006153846153846153,
|
1293 |
"step": 17428
|
1294 |
}
|
1295 |
],
|
1296 |
"logging_steps": 100,
|
1297 |
"max_steps": 54450,
|
|
|
1298 |
"num_train_epochs": 50,
|
1299 |
"save_steps": 500,
|
1300 |
+
"total_flos": 3.2798113522306253e+18,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1301 |
"trial_name": null,
|
1302 |
"trial_params": null
|
1303 |
}
|
checkpoint-17428/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 sha256:990ba0ec6800794569e1f142d0a98c1c27c344ee04644eb9619680965b92e617
|
3 |
+
size 4728
|