Upload folder using huggingface_hub
Browse files- config.json +28 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +432 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "facebook/xlm-v-base",
|
3 |
+
"architectures": [
|
4 |
+
"XLMRobertaForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"initializer_range": 0.02,
|
14 |
+
"intermediate_size": 3072,
|
15 |
+
"layer_norm_eps": 1e-05,
|
16 |
+
"max_position_embeddings": 514,
|
17 |
+
"model_type": "xlm-roberta",
|
18 |
+
"num_attention_heads": 12,
|
19 |
+
"num_hidden_layers": 12,
|
20 |
+
"pad_token_id": 1,
|
21 |
+
"position_embedding_type": "absolute",
|
22 |
+
"problem_type": "single_label_classification",
|
23 |
+
"torch_dtype": "float32",
|
24 |
+
"transformers_version": "4.41.2",
|
25 |
+
"type_vocab_size": 1,
|
26 |
+
"use_cache": true,
|
27 |
+
"vocab_size": 901629
|
28 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e9ccdbfa0867a79924388d382a8233ff27668c1729559b60d9d85a68b0ddeb5d
|
3 |
+
size 3114003416
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4ed4b2b4d1bb9d823778935e2e89da2cab824b3d9cf062a86d0867fdf4dc4c8f
|
3 |
+
size 6228131858
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a36fedb56c18b8956a1a960fd61eee9346a81b45d97785ce8389eb6293135c9a
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:936c6f5bbf3a3dbe10feca3e4110e021edb85a659f5354a5f21437182e998a50
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,432 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7877622937690213,
|
3 |
+
"best_model_checkpoint": "./XLM-V_64-multi-outputs/checkpoint-16000",
|
4 |
+
"epoch": 14.8619957537155,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 21000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.7077140835102619,
|
13 |
+
"grad_norm": 0.7589670419692993,
|
14 |
+
"learning_rate": 4.7169811320754717e-07,
|
15 |
+
"loss": 0.6944,
|
16 |
+
"step": 1000
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.7077140835102619,
|
20 |
+
"eval_accuracy": 0.5096086826645425,
|
21 |
+
"eval_f1": 0.6748960327414351,
|
22 |
+
"eval_loss": 0.6923578381538391,
|
23 |
+
"eval_precision": 0.5093155325296403,
|
24 |
+
"eval_recall": 1.0,
|
25 |
+
"eval_runtime": 57.7937,
|
26 |
+
"eval_samples_per_second": 173.773,
|
27 |
+
"eval_steps_per_second": 2.717,
|
28 |
+
"step": 1000
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 1.4154281670205238,
|
32 |
+
"grad_norm": 6.16334867477417,
|
33 |
+
"learning_rate": 9.433962264150943e-07,
|
34 |
+
"loss": 0.6848,
|
35 |
+
"step": 2000
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"epoch": 1.4154281670205238,
|
39 |
+
"eval_accuracy": 0.6086826645424674,
|
40 |
+
"eval_f1": 0.7141402385801571,
|
41 |
+
"eval_loss": 0.6570077538490295,
|
42 |
+
"eval_precision": 0.5684344603983326,
|
43 |
+
"eval_recall": 0.9602895148669797,
|
44 |
+
"eval_runtime": 57.4971,
|
45 |
+
"eval_samples_per_second": 174.67,
|
46 |
+
"eval_steps_per_second": 2.731,
|
47 |
+
"step": 2000
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 2.1231422505307855,
|
51 |
+
"grad_norm": 2.09871768951416,
|
52 |
+
"learning_rate": 9.538663171690695e-07,
|
53 |
+
"loss": 0.6613,
|
54 |
+
"step": 3000
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 2.1231422505307855,
|
58 |
+
"eval_accuracy": 0.6230210096584686,
|
59 |
+
"eval_f1": 0.7231241772707327,
|
60 |
+
"eval_loss": 0.6287678480148315,
|
61 |
+
"eval_precision": 0.5774351786965662,
|
62 |
+
"eval_recall": 0.9671361502347418,
|
63 |
+
"eval_runtime": 57.6578,
|
64 |
+
"eval_samples_per_second": 174.183,
|
65 |
+
"eval_steps_per_second": 2.723,
|
66 |
+
"step": 3000
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 2.8308563340410475,
|
70 |
+
"grad_norm": 1.726118803024292,
|
71 |
+
"learning_rate": 9.014416775884666e-07,
|
72 |
+
"loss": 0.6505,
|
73 |
+
"step": 4000
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 2.8308563340410475,
|
77 |
+
"eval_accuracy": 0.635965348999303,
|
78 |
+
"eval_f1": 0.7311764705882353,
|
79 |
+
"eval_loss": 0.615561306476593,
|
80 |
+
"eval_precision": 0.5857681432610744,
|
81 |
+
"eval_recall": 0.9726134585289515,
|
82 |
+
"eval_runtime": 57.6722,
|
83 |
+
"eval_samples_per_second": 174.139,
|
84 |
+
"eval_steps_per_second": 2.722,
|
85 |
+
"step": 4000
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 3.538570417551309,
|
89 |
+
"grad_norm": 18.405258178710938,
|
90 |
+
"learning_rate": 8.490170380078637e-07,
|
91 |
+
"loss": 0.6453,
|
92 |
+
"step": 5000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 3.538570417551309,
|
96 |
+
"eval_accuracy": 0.6402469381658867,
|
97 |
+
"eval_f1": 0.7314353675760054,
|
98 |
+
"eval_loss": 0.6071421504020691,
|
99 |
+
"eval_precision": 0.5898573312552452,
|
100 |
+
"eval_recall": 0.9624413145539906,
|
101 |
+
"eval_runtime": 57.5099,
|
102 |
+
"eval_samples_per_second": 174.631,
|
103 |
+
"eval_steps_per_second": 2.73,
|
104 |
+
"step": 5000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 4.246284501061571,
|
108 |
+
"grad_norm": 1.6453580856323242,
|
109 |
+
"learning_rate": 7.965923984272608e-07,
|
110 |
+
"loss": 0.632,
|
111 |
+
"step": 6000
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 4.246284501061571,
|
115 |
+
"eval_accuracy": 0.6659364731653888,
|
116 |
+
"eval_f1": 0.7478770571879462,
|
117 |
+
"eval_loss": 0.5868598222732544,
|
118 |
+
"eval_precision": 0.6071995118974984,
|
119 |
+
"eval_recall": 0.97339593114241,
|
120 |
+
"eval_runtime": 58.3002,
|
121 |
+
"eval_samples_per_second": 172.263,
|
122 |
+
"eval_steps_per_second": 2.693,
|
123 |
+
"step": 6000
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 4.953998584571833,
|
127 |
+
"grad_norm": 3.636608362197876,
|
128 |
+
"learning_rate": 7.44167758846658e-07,
|
129 |
+
"loss": 0.6232,
|
130 |
+
"step": 7000
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 4.953998584571833,
|
134 |
+
"eval_accuracy": 0.6733047894055562,
|
135 |
+
"eval_f1": 0.7526200708738596,
|
136 |
+
"eval_loss": 0.5761261582374573,
|
137 |
+
"eval_precision": 0.6123175070543492,
|
138 |
+
"eval_recall": 0.9763302034428795,
|
139 |
+
"eval_runtime": 57.6672,
|
140 |
+
"eval_samples_per_second": 174.154,
|
141 |
+
"eval_steps_per_second": 2.723,
|
142 |
+
"step": 7000
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 5.661712668082095,
|
146 |
+
"grad_norm": 24.744699478149414,
|
147 |
+
"learning_rate": 6.91743119266055e-07,
|
148 |
+
"loss": 0.6141,
|
149 |
+
"step": 8000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 5.661712668082095,
|
153 |
+
"eval_accuracy": 0.688140993726974,
|
154 |
+
"eval_f1": 0.7601837672281776,
|
155 |
+
"eval_loss": 0.5643310546875,
|
156 |
+
"eval_precision": 0.6245596376446905,
|
157 |
+
"eval_recall": 0.9710485133020345,
|
158 |
+
"eval_runtime": 57.5859,
|
159 |
+
"eval_samples_per_second": 174.4,
|
160 |
+
"eval_steps_per_second": 2.726,
|
161 |
+
"step": 8000
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 6.369426751592357,
|
165 |
+
"grad_norm": 9.586795806884766,
|
166 |
+
"learning_rate": 6.393184796854522e-07,
|
167 |
+
"loss": 0.605,
|
168 |
+
"step": 9000
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 6.369426751592357,
|
172 |
+
"eval_accuracy": 0.6972020312655581,
|
173 |
+
"eval_f1": 0.7631066448547168,
|
174 |
+
"eval_loss": 0.553417980670929,
|
175 |
+
"eval_precision": 0.6340453074433657,
|
176 |
+
"eval_recall": 0.9581377151799687,
|
177 |
+
"eval_runtime": 57.7405,
|
178 |
+
"eval_samples_per_second": 173.933,
|
179 |
+
"eval_steps_per_second": 2.719,
|
180 |
+
"step": 9000
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 7.077140835102618,
|
184 |
+
"grad_norm": 8.45578384399414,
|
185 |
+
"learning_rate": 5.868938401048492e-07,
|
186 |
+
"loss": 0.6021,
|
187 |
+
"step": 10000
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 7.077140835102618,
|
191 |
+
"eval_accuracy": 0.7043712038235587,
|
192 |
+
"eval_f1": 0.7691829277773459,
|
193 |
+
"eval_loss": 0.5444474816322327,
|
194 |
+
"eval_precision": 0.6382402270674752,
|
195 |
+
"eval_recall": 0.9677230046948356,
|
196 |
+
"eval_runtime": 57.654,
|
197 |
+
"eval_samples_per_second": 174.194,
|
198 |
+
"eval_steps_per_second": 2.723,
|
199 |
+
"step": 10000
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 7.78485491861288,
|
203 |
+
"grad_norm": 10.198156356811523,
|
204 |
+
"learning_rate": 5.344692005242464e-07,
|
205 |
+
"loss": 0.5934,
|
206 |
+
"step": 11000
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 7.78485491861288,
|
210 |
+
"eval_accuracy": 0.7097480832420592,
|
211 |
+
"eval_f1": 0.7714263310593585,
|
212 |
+
"eval_loss": 0.5372178554534912,
|
213 |
+
"eval_precision": 0.6437639052480042,
|
214 |
+
"eval_recall": 0.962245696400626,
|
215 |
+
"eval_runtime": 57.4867,
|
216 |
+
"eval_samples_per_second": 174.701,
|
217 |
+
"eval_steps_per_second": 2.731,
|
218 |
+
"step": 11000
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 8.492569002123142,
|
222 |
+
"grad_norm": 34.88262176513672,
|
223 |
+
"learning_rate": 4.820445609436435e-07,
|
224 |
+
"loss": 0.5842,
|
225 |
+
"step": 12000
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 8.492569002123142,
|
229 |
+
"eval_accuracy": 0.7273722991138106,
|
230 |
+
"eval_f1": 0.7810650887573964,
|
231 |
+
"eval_loss": 0.5250558853149414,
|
232 |
+
"eval_precision": 0.6605355693805789,
|
233 |
+
"eval_recall": 0.9553990610328639,
|
234 |
+
"eval_runtime": 57.6716,
|
235 |
+
"eval_samples_per_second": 174.141,
|
236 |
+
"eval_steps_per_second": 2.722,
|
237 |
+
"step": 12000
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 9.200283085633403,
|
241 |
+
"grad_norm": 63.931617736816406,
|
242 |
+
"learning_rate": 4.296199213630406e-07,
|
243 |
+
"loss": 0.5775,
|
244 |
+
"step": 13000
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 9.200283085633403,
|
248 |
+
"eval_accuracy": 0.7322513193268944,
|
249 |
+
"eval_f1": 0.7830226740902122,
|
250 |
+
"eval_loss": 0.5154615640640259,
|
251 |
+
"eval_precision": 0.6663919791237467,
|
252 |
+
"eval_recall": 0.9491392801251957,
|
253 |
+
"eval_runtime": 57.6583,
|
254 |
+
"eval_samples_per_second": 174.181,
|
255 |
+
"eval_steps_per_second": 2.723,
|
256 |
+
"step": 13000
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 9.907997169143666,
|
260 |
+
"grad_norm": 18.855731964111328,
|
261 |
+
"learning_rate": 3.771952817824377e-07,
|
262 |
+
"loss": 0.5694,
|
263 |
+
"step": 14000
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 9.907997169143666,
|
267 |
+
"eval_accuracy": 0.7335457532609778,
|
268 |
+
"eval_f1": 0.7848182695400451,
|
269 |
+
"eval_loss": 0.5107560157775879,
|
270 |
+
"eval_precision": 0.6663025669033316,
|
271 |
+
"eval_recall": 0.9546165884194053,
|
272 |
+
"eval_runtime": 57.5122,
|
273 |
+
"eval_samples_per_second": 174.624,
|
274 |
+
"eval_steps_per_second": 2.73,
|
275 |
+
"step": 14000
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 10.615711252653927,
|
279 |
+
"grad_norm": 5.973861217498779,
|
280 |
+
"learning_rate": 3.247706422018349e-07,
|
281 |
+
"loss": 0.5645,
|
282 |
+
"step": 15000
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 10.615711252653927,
|
286 |
+
"eval_accuracy": 0.7354376182415613,
|
287 |
+
"eval_f1": 0.7858466994438623,
|
288 |
+
"eval_loss": 0.5042764544487,
|
289 |
+
"eval_precision": 0.6682659355723098,
|
290 |
+
"eval_recall": 0.9536384976525821,
|
291 |
+
"eval_runtime": 57.6441,
|
292 |
+
"eval_samples_per_second": 174.224,
|
293 |
+
"eval_steps_per_second": 2.724,
|
294 |
+
"step": 15000
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 11.32342533616419,
|
298 |
+
"grad_norm": 13.824345588684082,
|
299 |
+
"learning_rate": 2.72346002621232e-07,
|
300 |
+
"loss": 0.5555,
|
301 |
+
"step": 16000
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 11.32342533616419,
|
305 |
+
"eval_accuracy": 0.7361346211291446,
|
306 |
+
"eval_f1": 0.7877622937690213,
|
307 |
+
"eval_loss": 0.5019333362579346,
|
308 |
+
"eval_precision": 0.666937889883374,
|
309 |
+
"eval_recall": 0.9620500782472613,
|
310 |
+
"eval_runtime": 57.7949,
|
311 |
+
"eval_samples_per_second": 173.77,
|
312 |
+
"eval_steps_per_second": 2.717,
|
313 |
+
"step": 16000
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 12.031139419674451,
|
317 |
+
"grad_norm": 12.343938827514648,
|
318 |
+
"learning_rate": 2.199213630406291e-07,
|
319 |
+
"loss": 0.5517,
|
320 |
+
"step": 17000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 12.031139419674451,
|
324 |
+
"eval_accuracy": 0.7386239171562282,
|
325 |
+
"eval_f1": 0.786879922058943,
|
326 |
+
"eval_loss": 0.4967314302921295,
|
327 |
+
"eval_precision": 0.672588480222068,
|
328 |
+
"eval_recall": 0.9479655712050078,
|
329 |
+
"eval_runtime": 57.6752,
|
330 |
+
"eval_samples_per_second": 174.13,
|
331 |
+
"eval_steps_per_second": 2.722,
|
332 |
+
"step": 17000
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 12.738853503184714,
|
336 |
+
"grad_norm": 10.652567863464355,
|
337 |
+
"learning_rate": 1.6749672346002622e-07,
|
338 |
+
"loss": 0.5485,
|
339 |
+
"step": 18000
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 12.738853503184714,
|
343 |
+
"eval_accuracy": 0.7389226326794782,
|
344 |
+
"eval_f1": 0.7872444011684518,
|
345 |
+
"eval_loss": 0.49510088562965393,
|
346 |
+
"eval_precision": 0.6726289517470881,
|
347 |
+
"eval_recall": 0.948943661971831,
|
348 |
+
"eval_runtime": 57.6551,
|
349 |
+
"eval_samples_per_second": 174.191,
|
350 |
+
"eval_steps_per_second": 2.723,
|
351 |
+
"step": 18000
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 13.446567586694975,
|
355 |
+
"grad_norm": 7.330574035644531,
|
356 |
+
"learning_rate": 1.1507208387942332e-07,
|
357 |
+
"loss": 0.5448,
|
358 |
+
"step": 19000
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 13.446567586694975,
|
362 |
+
"eval_accuracy": 0.7379269142686449,
|
363 |
+
"eval_f1": 0.7868825910931174,
|
364 |
+
"eval_loss": 0.49567386507987976,
|
365 |
+
"eval_precision": 0.6713180436584691,
|
366 |
+
"eval_recall": 0.9505086071987481,
|
367 |
+
"eval_runtime": 57.6941,
|
368 |
+
"eval_samples_per_second": 174.073,
|
369 |
+
"eval_steps_per_second": 2.721,
|
370 |
+
"step": 19000
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 14.154281670205236,
|
374 |
+
"grad_norm": 22.538665771484375,
|
375 |
+
"learning_rate": 6.264744429882045e-08,
|
376 |
+
"loss": 0.5441,
|
377 |
+
"step": 20000
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 14.154281670205236,
|
381 |
+
"eval_accuracy": 0.7379269142686449,
|
382 |
+
"eval_f1": 0.7872615583575816,
|
383 |
+
"eval_loss": 0.4930832087993622,
|
384 |
+
"eval_precision": 0.6707988980716253,
|
385 |
+
"eval_recall": 0.952660406885759,
|
386 |
+
"eval_runtime": 57.6062,
|
387 |
+
"eval_samples_per_second": 174.339,
|
388 |
+
"eval_steps_per_second": 2.725,
|
389 |
+
"step": 20000
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 14.8619957537155,
|
393 |
+
"grad_norm": 11.810145378112793,
|
394 |
+
"learning_rate": 1.0222804718217562e-08,
|
395 |
+
"loss": 0.5416,
|
396 |
+
"step": 21000
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 14.8619957537155,
|
400 |
+
"eval_accuracy": 0.7375286269043114,
|
401 |
+
"eval_f1": 0.7866968765172357,
|
402 |
+
"eval_loss": 0.4928380250930786,
|
403 |
+
"eval_precision": 0.6708528843499862,
|
404 |
+
"eval_recall": 0.9508998435054773,
|
405 |
+
"eval_runtime": 57.6166,
|
406 |
+
"eval_samples_per_second": 174.308,
|
407 |
+
"eval_steps_per_second": 2.725,
|
408 |
+
"step": 21000
|
409 |
+
}
|
410 |
+
],
|
411 |
+
"logging_steps": 1000,
|
412 |
+
"max_steps": 21195,
|
413 |
+
"num_input_tokens_seen": 0,
|
414 |
+
"num_train_epochs": 15,
|
415 |
+
"save_steps": 1000,
|
416 |
+
"stateful_callbacks": {
|
417 |
+
"TrainerControl": {
|
418 |
+
"args": {
|
419 |
+
"should_epoch_stop": false,
|
420 |
+
"should_evaluate": false,
|
421 |
+
"should_log": false,
|
422 |
+
"should_save": true,
|
423 |
+
"should_training_stop": false
|
424 |
+
},
|
425 |
+
"attributes": {}
|
426 |
+
}
|
427 |
+
},
|
428 |
+
"total_flos": 3.173409489802339e+17,
|
429 |
+
"train_batch_size": 64,
|
430 |
+
"trial_name": null,
|
431 |
+
"trial_params": null
|
432 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a6b36f62b0edb9b7f5539033fb40b0e4058b128ea7755e1d2e55a763b3dd6243
|
3 |
+
size 5048
|