Hugging Face's logo

salbatarni
/
bert_baseline_prompt_adherence_task5_fold0

TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Metrics Community
salbatarni commited on
Commit
42d7387
•
1 Parent(s): 0c2c67a

Training in progress, step 340

Browse files
Files changed (13) hide show
  1. README.md +172 -175
  2. runs/Aug25_05-41-07_358cdae836c1/events.out.tfevents.1724564469.358cdae836c1.24.0 +3 -0
  3. runs/Aug25_06-04-04_358cdae836c1/events.out.tfevents.1724565845.358cdae836c1.24.1 +3 -0
  4. runs/Aug25_06-27-02_358cdae836c1/events.out.tfevents.1724567223.358cdae836c1.24.2 +3 -0
  5. runs/Aug25_06-50-00_358cdae836c1/events.out.tfevents.1724568601.358cdae836c1.24.3 +3 -0
  6. runs/Aug25_07-12-58_358cdae836c1/events.out.tfevents.1724569978.358cdae836c1.24.4 +3 -0
  7. runs/Aug25_07-35-55_358cdae836c1/events.out.tfevents.1724571356.358cdae836c1.24.5 +3 -0
  8. runs/Aug25_07-59-55_358cdae836c1/events.out.tfevents.1724572795.358cdae836c1.24.6 +3 -0
  9. runs/Aug25_08-24-05_358cdae836c1/events.out.tfevents.1724574246.358cdae836c1.24.7 +3 -0
  10. runs/Aug25_08-48-17_358cdae836c1/events.out.tfevents.1724575698.358cdae836c1.24.8 +3 -0
  11. runs/Aug25_09-12-24_358cdae836c1/events.out.tfevents.1724577145.358cdae836c1.24.9 +3 -0
  12. runs/Aug25_09-36-31_358cdae836c1/events.out.tfevents.1724578591.358cdae836c1.24.10 +3 -0
  13. training_args.bin +1 -1
README.md CHANGED
@@ -4,20 +4,20 @@ base_model: google-bert/bert-base-cased
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
- - name: bert_baseline_prompt_adherence_task5_fold0
8
  results: []
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
- # bert_baseline_prompt_adherence_task5_fold0
15
 
16
  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.4870
19
- - Qwk: 0.7160
20
- - Mse: 0.4874
21
 
22
  ## Model description
23
 
@@ -48,176 +48,173 @@ The following hyperparameters were used during training:
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
51
- | No log | 0.0294 | 2 | 3.1421 | 0.0 | 3.1416 |
52
- | No log | 0.0588 | 4 | 2.4083 | 0.0030 | 2.4077 |
53
- | No log | 0.0882 | 6 | 1.8695 | 0.1157 | 1.8689 |
54
- | No log | 0.1176 | 8 | 1.4999 | 0.0197 | 1.4992 |
55
- | No log | 0.1471 | 10 | 1.2033 | 0.0 | 1.2027 |
56
- | No log | 0.1765 | 12 | 1.0581 | 0.0 | 1.0575 |
57
- | No log | 0.2059 | 14 | 0.9734 | 0.4026 | 0.9728 |
58
- | No log | 0.2353 | 16 | 0.9439 | 0.3348 | 0.9435 |
59
- | No log | 0.2647 | 18 | 0.9011 | 0.3514 | 0.9007 |
60
- | No log | 0.2941 | 20 | 0.8612 | 0.3899 | 0.8606 |
61
- | No log | 0.3235 | 22 | 0.8436 | 0.3677 | 0.8430 |
62
- | No log | 0.3529 | 24 | 0.7792 | 0.4120 | 0.7789 |
63
- | No log | 0.3824 | 26 | 0.7411 | 0.4097 | 0.7412 |
64
- | No log | 0.4118 | 28 | 0.7178 | 0.4104 | 0.7181 |
65
- | No log | 0.4412 | 30 | 0.6881 | 0.4144 | 0.6884 |
66
- | No log | 0.4706 | 32 | 0.6386 | 0.4233 | 0.6388 |
67
- | No log | 0.5 | 34 | 0.6263 | 0.4260 | 0.6267 |
68
- | No log | 0.5294 | 36 | 0.6191 | 0.4425 | 0.6196 |
69
- | No log | 0.5588 | 38 | 0.6170 | 0.4483 | 0.6176 |
70
- | No log | 0.5882 | 40 | 0.6557 | 0.4512 | 0.6564 |
71
- | No log | 0.6176 | 42 | 0.7423 | 0.4366 | 0.7432 |
72
- | No log | 0.6471 | 44 | 0.6778 | 0.4875 | 0.6785 |
73
- | No log | 0.6765 | 46 | 0.5894 | 0.5210 | 0.5899 |
74
- | No log | 0.7059 | 48 | 0.5643 | 0.5377 | 0.5645 |
75
- | No log | 0.7353 | 50 | 0.5833 | 0.5055 | 0.5831 |
76
- | No log | 0.7647 | 52 | 0.5574 | 0.5158 | 0.5574 |
77
- | No log | 0.7941 | 54 | 0.5871 | 0.6693 | 0.5878 |
78
- | No log | 0.8235 | 56 | 0.6332 | 0.6972 | 0.6341 |
79
- | No log | 0.8529 | 58 | 0.5675 | 0.6386 | 0.5680 |
80
- | No log | 0.8824 | 60 | 0.5659 | 0.6737 | 0.5665 |
81
- | No log | 0.9118 | 62 | 0.5687 | 0.6856 | 0.5691 |
82
- | No log | 0.9412 | 64 | 0.6101 | 0.7011 | 0.6109 |
83
- | No log | 0.9706 | 66 | 0.6053 | 0.7360 | 0.6061 |
84
- | No log | 1.0 | 68 | 0.5455 | 0.6771 | 0.5459 |
85
- | No log | 1.0294 | 70 | 0.5344 | 0.6306 | 0.5346 |
86
- | No log | 1.0588 | 72 | 0.5456 | 0.6483 | 0.5459 |
87
- | No log | 1.0882 | 74 | 0.5758 | 0.6801 | 0.5762 |
88
- | No log | 1.1176 | 76 | 0.6070 | 0.7361 | 0.6077 |
89
- | No log | 1.1471 | 78 | 0.6643 | 0.7415 | 0.6652 |
90
- | No log | 1.1765 | 80 | 0.6498 | 0.7262 | 0.6506 |
91
- | No log | 1.2059 | 82 | 0.5447 | 0.6309 | 0.5449 |
92
- | No log | 1.2353 | 84 | 0.5707 | 0.5635 | 0.5703 |
93
- | No log | 1.2647 | 86 | 0.5895 | 0.5689 | 0.5890 |
94
- | No log | 1.2941 | 88 | 0.5714 | 0.6711 | 0.5718 |
95
- | No log | 1.3235 | 90 | 0.5937 | 0.7027 | 0.5946 |
96
- | No log | 1.3529 | 92 | 0.5348 | 0.6453 | 0.5352 |
97
- | No log | 1.3824 | 94 | 0.5234 | 0.6111 | 0.5234 |
98
- | No log | 1.4118 | 96 | 0.5613 | 0.7067 | 0.5622 |
99
- | No log | 1.4412 | 98 | 0.6330 | 0.7364 | 0.6342 |
100
- | No log | 1.4706 | 100 | 0.6118 | 0.7386 | 0.6128 |
101
- | No log | 1.5 | 102 | 0.5264 | 0.6980 | 0.5269 |
102
- | No log | 1.5294 | 104 | 0.5054 | 0.6064 | 0.5052 |
103
- | No log | 1.5588 | 106 | 0.5020 | 0.6057 | 0.5019 |
104
- | No log | 1.5882 | 108 | 0.4930 | 0.6402 | 0.4932 |
105
- | No log | 1.6176 | 110 | 0.5124 | 0.6965 | 0.5130 |
106
- | No log | 1.6471 | 112 | 0.5059 | 0.7021 | 0.5065 |
107
- | No log | 1.6765 | 114 | 0.4952 | 0.6826 | 0.4957 |
108
- | No log | 1.7059 | 116 | 0.4838 | 0.6611 | 0.4842 |
109
- | No log | 1.7353 | 118 | 0.4787 | 0.6423 | 0.4789 |
110
- | No log | 1.7647 | 120 | 0.4822 | 0.6561 | 0.4826 |
111
- | No log | 1.7941 | 122 | 0.5205 | 0.7345 | 0.5212 |
112
- | No log | 1.8235 | 124 | 0.5129 | 0.7314 | 0.5135 |
113
- | No log | 1.8529 | 126 | 0.4845 | 0.6544 | 0.4847 |
114
- | No log | 1.8824 | 128 | 0.4865 | 0.6634 | 0.4868 |
115
- | No log | 1.9118 | 130 | 0.4838 | 0.6358 | 0.4839 |
116
- | No log | 1.9412 | 132 | 0.4898 | 0.6777 | 0.4900 |
117
- | No log | 1.9706 | 134 | 0.4804 | 0.6655 | 0.4806 |
118
- | No log | 2.0 | 136 | 0.4804 | 0.5760 | 0.4800 |
119
- | No log | 2.0294 | 138 | 0.4835 | 0.5762 | 0.4831 |
120
- | No log | 2.0588 | 140 | 0.4624 | 0.6260 | 0.4623 |
121
- | No log | 2.0882 | 142 | 0.5061 | 0.7344 | 0.5067 |
122
- | No log | 2.1176 | 144 | 0.5440 | 0.7385 | 0.5448 |
123
- | No log | 2.1471 | 146 | 0.5168 | 0.7265 | 0.5174 |
124
- | No log | 2.1765 | 148 | 0.4591 | 0.6554 | 0.4592 |
125
- | No log | 2.2059 | 150 | 0.4728 | 0.5767 | 0.4724 |
126
- | No log | 2.2353 | 152 | 0.5080 | 0.5478 | 0.5073 |
127
- | No log | 2.2647 | 154 | 0.4907 | 0.5525 | 0.4902 |
128
- | No log | 2.2941 | 156 | 0.4599 | 0.5955 | 0.4598 |
129
- | No log | 2.3235 | 158 | 0.4861 | 0.7290 | 0.4865 |
130
- | No log | 2.3529 | 160 | 0.6133 | 0.7618 | 0.6143 |
131
- | No log | 2.3824 | 162 | 0.7415 | 0.7608 | 0.7430 |
132
- | No log | 2.4118 | 164 | 0.7229 | 0.7630 | 0.7243 |
133
- | No log | 2.4412 | 166 | 0.6094 | 0.7553 | 0.6104 |
134
- | No log | 2.4706 | 168 | 0.4935 | 0.7226 | 0.4939 |
135
- | No log | 2.5 | 170 | 0.4734 | 0.6028 | 0.4730 |
136
- | No log | 2.5294 | 172 | 0.4959 | 0.5787 | 0.4952 |
137
- | No log | 2.5588 | 174 | 0.4736 | 0.5908 | 0.4732 |
138
- | No log | 2.5882 | 176 | 0.4659 | 0.6921 | 0.4661 |
139
- | No log | 2.6176 | 178 | 0.5161 | 0.7449 | 0.5168 |
140
- | No log | 2.6471 | 180 | 0.5802 | 0.7581 | 0.5812 |
141
- | No log | 2.6765 | 182 | 0.5806 | 0.7602 | 0.5816 |
142
- | No log | 2.7059 | 184 | 0.5066 | 0.7403 | 0.5073 |
143
- | No log | 2.7353 | 186 | 0.4652 | 0.6848 | 0.4654 |
144
- | No log | 2.7647 | 188 | 0.4526 | 0.6386 | 0.4525 |
145
- | No log | 2.7941 | 190 | 0.4537 | 0.6420 | 0.4536 |
146
- | No log | 2.8235 | 192 | 0.4627 | 0.6977 | 0.4629 |
147
- | No log | 2.8529 | 194 | 0.4899 | 0.7249 | 0.4904 |
148
- | No log | 2.8824 | 196 | 0.5294 | 0.7309 | 0.5302 |
149
- | No log | 2.9118 | 198 | 0.5313 | 0.7249 | 0.5321 |
150
- | No log | 2.9412 | 200 | 0.4939 | 0.7241 | 0.4944 |
151
- | No log | 2.9706 | 202 | 0.4574 | 0.6735 | 0.4573 |
152
- | No log | 3.0 | 204 | 0.4569 | 0.6519 | 0.4567 |
153
- | No log | 3.0294 | 206 | 0.4649 | 0.6639 | 0.4647 |
154
- | No log | 3.0588 | 208 | 0.4917 | 0.7097 | 0.4920 |
155
- | No log | 3.0882 | 210 | 0.5072 | 0.7189 | 0.5076 |
156
- | No log | 3.1176 | 212 | 0.5108 | 0.7087 | 0.5111 |
157
- | No log | 3.1471 | 214 | 0.4959 | 0.6660 | 0.4957 |
158
- | No log | 3.1765 | 216 | 0.4845 | 0.6598 | 0.4841 |
159
- | No log | 3.2059 | 218 | 0.4681 | 0.6549 | 0.4678 |
160
- | No log | 3.2353 | 220 | 0.4605 | 0.6981 | 0.4605 |
161
- | No log | 3.2647 | 222 | 0.4876 | 0.7221 | 0.4881 |
162
- | No log | 3.2941 | 224 | 0.5067 | 0.7194 | 0.5072 |
163
- | No log | 3.3235 | 226 | 0.4901 | 0.7133 | 0.4905 |
164
- | No log | 3.3529 | 228 | 0.4686 | 0.6839 | 0.4687 |
165
- | No log | 3.3824 | 230 | 0.4717 | 0.6952 | 0.4719 |
166
- | No log | 3.4118 | 232 | 0.4693 | 0.6941 | 0.4694 |
167
- | No log | 3.4412 | 234 | 0.4836 | 0.7163 | 0.4839 |
168
- | No log | 3.4706 | 236 | 0.4918 | 0.7138 | 0.4921 |
169
- | No log | 3.5 | 238 | 0.4993 | 0.7236 | 0.4996 |
170
- | No log | 3.5294 | 240 | 0.5378 | 0.7311 | 0.5384 |
171
- | No log | 3.5588 | 242 | 0.5550 | 0.7422 | 0.5557 |
172
- | No log | 3.5882 | 244 | 0.5267 | 0.7269 | 0.5272 |
173
- | No log | 3.6176 | 246 | 0.4938 | 0.7017 | 0.4939 |
174
- | No log | 3.6471 | 248 | 0.4934 | 0.7103 | 0.4935 |
175
- | No log | 3.6765 | 250 | 0.4943 | 0.7111 | 0.4945 |
176
- | No log | 3.7059 | 252 | 0.4932 | 0.7133 | 0.4934 |
177
- | No log | 3.7353 | 254 | 0.4942 | 0.7149 | 0.4945 |
178
- | No log | 3.7647 | 256 | 0.5095 | 0.7269 | 0.5102 |
179
- | No log | 3.7941 | 258 | 0.5335 | 0.7366 | 0.5344 |
180
- | No log | 3.8235 | 260 | 0.5399 | 0.7376 | 0.5408 |
181
- | No log | 3.8529 | 262 | 0.5274 | 0.7340 | 0.5282 |
182
- | No log | 3.8824 | 264 | 0.5032 | 0.7390 | 0.5038 |
183
- | No log | 3.9118 | 266 | 0.4953 | 0.7384 | 0.4959 |
184
- | No log | 3.9412 | 268 | 0.4773 | 0.7166 | 0.4778 |
185
- | No log | 3.9706 | 270 | 0.4604 | 0.6906 | 0.4606 |
186
- | No log | 4.0 | 272 | 0.4522 | 0.6585 | 0.4522 |
187
- | No log | 4.0294 | 274 | 0.4498 | 0.6320 | 0.4496 |
188
- | No log | 4.0588 | 276 | 0.4497 | 0.6302 | 0.4495 |
189
- | No log | 4.0882 | 278 | 0.4505 | 0.6510 | 0.4505 |
190
- | No log | 4.1176 | 280 | 0.4585 | 0.6828 | 0.4587 |
191
- | No log | 4.1471 | 282 | 0.4639 | 0.7015 | 0.4642 |
192
- | No log | 4.1765 | 284 | 0.4732 | 0.7132 | 0.4736 |
193
- | No log | 4.2059 | 286 | 0.4774 | 0.7175 | 0.4779 |
194
- | No log | 4.2353 | 288 | 0.4798 | 0.7146 | 0.4803 |
195
- | No log | 4.2647 | 290 | 0.4810 | 0.7175 | 0.4815 |
196
- | No log | 4.2941 | 292 | 0.4834 | 0.7221 | 0.4839 |
197
- | No log | 4.3235 | 294 | 0.4784 | 0.7176 | 0.4788 |
198
- | No log | 4.3529 | 296 | 0.4714 | 0.7062 | 0.4716 |
199
- | No log | 4.3824 | 298 | 0.4744 | 0.7067 | 0.4746 |
200
- | No log | 4.4118 | 300 | 0.4792 | 0.7170 | 0.4795 |
201
- | No log | 4.4412 | 302 | 0.4930 | 0.7249 | 0.4935 |
202
- | No log | 4.4706 | 304 | 0.5034 | 0.7251 | 0.5040 |
203
- | No log | 4.5 | 306 | 0.5084 | 0.7256 | 0.5090 |
204
- | No log | 4.5294 | 308 | 0.5080 | 0.7267 | 0.5086 |
205
- | No log | 4.5588 | 310 | 0.5111 | 0.7258 | 0.5118 |
206
- | No log | 4.5882 | 312 | 0.5187 | 0.7255 | 0.5194 |
207
- | No log | 4.6176 | 314 | 0.5135 | 0.7264 | 0.5142 |
208
- | No log | 4.6471 | 316 | 0.5003 | 0.7254 | 0.5008 |
209
- | No log | 4.6765 | 318 | 0.4859 | 0.7234 | 0.4863 |
210
- | No log | 4.7059 | 320 | 0.4757 | 0.7153 | 0.4760 |
211
- | No log | 4.7353 | 322 | 0.4726 | 0.7002 | 0.4728 |
212
- | No log | 4.7647 | 324 | 0.4722 | 0.6968 | 0.4723 |
213
- | No log | 4.7941 | 326 | 0.4733 | 0.7044 | 0.4735 |
214
- | No log | 4.8235 | 328 | 0.4753 | 0.7082 | 0.4755 |
215
- | No log | 4.8529 | 330 | 0.4782 | 0.7132 | 0.4785 |
216
- | No log | 4.8824 | 332 | 0.4805 | 0.7138 | 0.4808 |
217
- | No log | 4.9118 | 334 | 0.4836 | 0.7103 | 0.4839 |
218
- | No log | 4.9412 | 336 | 0.4856 | 0.7126 | 0.4860 |
219
- | No log | 4.9706 | 338 | 0.4865 | 0.7126 | 0.4869 |
220
- | No log | 5.0 | 340 | 0.4870 | 0.7160 | 0.4874 |
221
 
222
 
223
  ### Framework versions
 
4
  tags:
5
  - generated_from_trainer
6
  model-index:
7
+ - name: bert_baseline_prompt_adherence_task4_fold4
8
  results: []
9
  ---
10
 
11
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
  should probably proofread and complete it, then remove this comment. -->
13
 
14
+ # bert_baseline_prompt_adherence_task4_fold4
15
 
16
  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.3584
19
+ - Qwk: 0.7661
20
+ - Mse: 0.3584
21
 
22
  ## Model description
23
 
 
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
50
  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
51
+ | No log | 0.0299 | 2 | 1.2443 | 0.0 | 1.2443 |
52
+ | No log | 0.0597 | 4 | 0.9707 | 0.0 | 0.9707 |
53
+ | No log | 0.0896 | 6 | 0.8255 | 0.3275 | 0.8255 |
54
+ | No log | 0.1194 | 8 | 0.7870 | 0.3717 | 0.7870 |
55
+ | No log | 0.1493 | 10 | 0.7604 | 0.3805 | 0.7604 |
56
+ | No log | 0.1791 | 12 | 0.7414 | 0.3322 | 0.7414 |
57
+ | No log | 0.2090 | 14 | 0.7169 | 0.3568 | 0.7169 |
58
+ | No log | 0.2388 | 16 | 0.6759 | 0.3554 | 0.6759 |
59
+ | No log | 0.2687 | 18 | 0.6392 | 0.3504 | 0.6392 |
60
+ | No log | 0.2985 | 20 | 0.6005 | 0.3656 | 0.6005 |
61
+ | No log | 0.3284 | 22 | 0.5749 | 0.3572 | 0.5749 |
62
+ | No log | 0.3582 | 24 | 0.6085 | 0.3548 | 0.6085 |
63
+ | No log | 0.3881 | 26 | 0.5712 | 0.3867 | 0.5712 |
64
+ | No log | 0.4179 | 28 | 0.4782 | 0.4192 | 0.4782 |
65
+ | No log | 0.4478 | 30 | 0.4704 | 0.3709 | 0.4704 |
66
+ | No log | 0.4776 | 32 | 0.4817 | 0.3659 | 0.4817 |
67
+ | No log | 0.5075 | 34 | 0.4440 | 0.4181 | 0.4440 |
68
+ | No log | 0.5373 | 36 | 0.4484 | 0.4808 | 0.4484 |
69
+ | No log | 0.5672 | 38 | 0.4278 | 0.6458 | 0.4278 |
70
+ | No log | 0.5970 | 40 | 0.4117 | 0.5914 | 0.4117 |
71
+ | No log | 0.6269 | 42 | 0.4057 | 0.5708 | 0.4057 |
72
+ | No log | 0.6567 | 44 | 0.3990 | 0.6590 | 0.3990 |
73
+ | No log | 0.6866 | 46 | 0.3990 | 0.6750 | 0.3990 |
74
+ | No log | 0.7164 | 48 | 0.3870 | 0.6519 | 0.3870 |
75
+ | No log | 0.7463 | 50 | 0.3799 | 0.6386 | 0.3799 |
76
+ | No log | 0.7761 | 52 | 0.3939 | 0.7013 | 0.3939 |
77
+ | No log | 0.8060 | 54 | 0.5031 | 0.7409 | 0.5031 |
78
+ | No log | 0.8358 | 56 | 0.6553 | 0.7154 | 0.6553 |
79
+ | No log | 0.8657 | 58 | 0.8023 | 0.6679 | 0.8023 |
80
+ | No log | 0.8955 | 60 | 0.6686 | 0.7089 | 0.6686 |
81
+ | No log | 0.9254 | 62 | 0.4643 | 0.6871 | 0.4643 |
82
+ | No log | 0.9552 | 64 | 0.3993 | 0.5443 | 0.3993 |
83
+ | No log | 0.9851 | 66 | 0.4001 | 0.4857 | 0.4001 |
84
+ | No log | 1.0149 | 68 | 0.3614 | 0.5379 | 0.3614 |
85
+ | No log | 1.0448 | 70 | 0.3637 | 0.6897 | 0.3637 |
86
+ | No log | 1.0746 | 72 | 0.3844 | 0.7311 | 0.3844 |
87
+ | No log | 1.1045 | 74 | 0.3574 | 0.6973 | 0.3574 |
88
+ | No log | 1.1343 | 76 | 0.3401 | 0.6778 | 0.3401 |
89
+ | No log | 1.1642 | 78 | 0.3395 | 0.6981 | 0.3395 |
90
+ | No log | 1.1940 | 80 | 0.3617 | 0.7317 | 0.3617 |
91
+ | No log | 1.2239 | 82 | 0.3786 | 0.7466 | 0.3786 |
92
+ | No log | 1.2537 | 84 | 0.3423 | 0.7234 | 0.3423 |
93
+ | No log | 1.2836 | 86 | 0.3218 | 0.6556 | 0.3218 |
94
+ | No log | 1.3134 | 88 | 0.3278 | 0.6166 | 0.3278 |
95
+ | No log | 1.3433 | 90 | 0.3505 | 0.5513 | 0.3505 |
96
+ | No log | 1.3731 | 92 | 0.3330 | 0.5929 | 0.3330 |
97
+ | No log | 1.4030 | 94 | 0.3197 | 0.6819 | 0.3197 |
98
+ | No log | 1.4328 | 96 | 0.3346 | 0.7089 | 0.3346 |
99
+ | No log | 1.4627 | 98 | 0.3389 | 0.7312 | 0.3389 |
100
+ | No log | 1.4925 | 100 | 0.3203 | 0.7106 | 0.3203 |
101
+ | No log | 1.5224 | 102 | 0.3314 | 0.7252 | 0.3314 |
102
+ | No log | 1.5522 | 104 | 0.3731 | 0.7459 | 0.3731 |
103
+ | No log | 1.5821 | 106 | 0.3357 | 0.7275 | 0.3357 |
104
+ | No log | 1.6119 | 108 | 0.3198 | 0.6921 | 0.3198 |
105
+ | No log | 1.6418 | 110 | 0.3098 | 0.6386 | 0.3098 |
106
+ | No log | 1.6716 | 112 | 0.3157 | 0.6932 | 0.3157 |
107
+ | No log | 1.7015 | 114 | 0.3673 | 0.7532 | 0.3673 |
108
+ | No log | 1.7313 | 116 | 0.3748 | 0.7573 | 0.3748 |
109
+ | No log | 1.7612 | 118 | 0.3899 | 0.7593 | 0.3899 |
110
+ | No log | 1.7910 | 120 | 0.3975 | 0.7575 | 0.3975 |
111
+ | No log | 1.8209 | 122 | 0.3556 | 0.7447 | 0.3556 |
112
+ | No log | 1.8507 | 124 | 0.3253 | 0.6647 | 0.3253 |
113
+ | No log | 1.8806 | 126 | 0.3533 | 0.5111 | 0.3533 |
114
+ | No log | 1.9104 | 128 | 0.3439 | 0.5285 | 0.3439 |
115
+ | No log | 1.9403 | 130 | 0.3254 | 0.6668 | 0.3254 |
116
+ | No log | 1.9701 | 132 | 0.3701 | 0.7315 | 0.3701 |
117
+ | No log | 2.0 | 134 | 0.4611 | 0.7495 | 0.4611 |
118
+ | No log | 2.0299 | 136 | 0.5215 | 0.7473 | 0.5215 |
119
+ | No log | 2.0597 | 138 | 0.4775 | 0.7629 | 0.4775 |
120
+ | No log | 2.0896 | 140 | 0.3735 | 0.7431 | 0.3735 |
121
+ | No log | 2.1194 | 142 | 0.3063 | 0.7134 | 0.3063 |
122
+ | No log | 2.1493 | 144 | 0.2971 | 0.6687 | 0.2971 |
123
+ | No log | 2.1791 | 146 | 0.2961 | 0.6860 | 0.2961 |
124
+ | No log | 2.2090 | 148 | 0.3076 | 0.7257 | 0.3076 |
125
+ | No log | 2.2388 | 150 | 0.3181 | 0.7335 | 0.3181 |
126
+ | No log | 2.2687 | 152 | 0.3115 | 0.7324 | 0.3115 |
127
+ | No log | 2.2985 | 154 | 0.3106 | 0.7336 | 0.3106 |
128
+ | No log | 2.3284 | 156 | 0.3062 | 0.7246 | 0.3062 |
129
+ | No log | 2.3582 | 158 | 0.2957 | 0.7093 | 0.2957 |
130
+ | No log | 2.3881 | 160 | 0.2906 | 0.6976 | 0.2906 |
131
+ | No log | 2.4179 | 162 | 0.2893 | 0.6849 | 0.2893 |
132
+ | No log | 2.4478 | 164 | 0.2949 | 0.7037 | 0.2949 |
133
+ | No log | 2.4776 | 166 | 0.3165 | 0.7460 | 0.3165 |
134
+ | No log | 2.5075 | 168 | 0.3729 | 0.7651 | 0.3729 |
135
+ | No log | 2.5373 | 170 | 0.3809 | 0.7697 | 0.3809 |
136
+ | No log | 2.5672 | 172 | 0.3709 | 0.7628 | 0.3709 |
137
+ | No log | 2.5970 | 174 | 0.3413 | 0.7589 | 0.3413 |
138
+ | No log | 2.6269 | 176 | 0.2959 | 0.7228 | 0.2959 |
139
+ | No log | 2.6567 | 178 | 0.2837 | 0.6782 | 0.2837 |
140
+ | No log | 2.6866 | 180 | 0.2888 | 0.7069 | 0.2888 |
141
+ | No log | 2.7164 | 182 | 0.3101 | 0.7416 | 0.3101 |
142
+ | No log | 2.7463 | 184 | 0.3048 | 0.7388 | 0.3048 |
143
+ | No log | 2.7761 | 186 | 0.3104 | 0.7408 | 0.3104 |
144
+ | No log | 2.8060 | 188 | 0.3197 | 0.7525 | 0.3197 |
145
+ | No log | 2.8358 | 190 | 0.3004 | 0.7215 | 0.3004 |
146
+ | No log | 2.8657 | 192 | 0.2988 | 0.7148 | 0.2988 |
147
+ | No log | 2.8955 | 194 | 0.3121 | 0.7416 | 0.3121 |
148
+ | No log | 2.9254 | 196 | 0.3250 | 0.7529 | 0.3250 |
149
+ | No log | 2.9552 | 198 | 0.3176 | 0.7560 | 0.3176 |
150
+ | No log | 2.9851 | 200 | 0.2903 | 0.7044 | 0.2903 |
151
+ | No log | 3.0149 | 202 | 0.2847 | 0.6752 | 0.2847 |
152
+ | No log | 3.0448 | 204 | 0.2875 | 0.6945 | 0.2875 |
153
+ | No log | 3.0746 | 206 | 0.3199 | 0.7513 | 0.3199 |
154
+ | No log | 3.1045 | 208 | 0.3502 | 0.7715 | 0.3502 |
155
+ | No log | 3.1343 | 210 | 0.3315 | 0.7667 | 0.3315 |
156
+ | No log | 3.1642 | 212 | 0.2976 | 0.7158 | 0.2976 |
157
+ | No log | 3.1940 | 214 | 0.2918 | 0.6987 | 0.2918 |
158
+ | No log | 3.2239 | 216 | 0.2976 | 0.7149 | 0.2976 |
159
+ | No log | 3.2537 | 218 | 0.3126 | 0.7332 | 0.3126 |
160
+ | No log | 3.2836 | 220 | 0.3172 | 0.7364 | 0.3172 |
161
+ | No log | 3.3134 | 222 | 0.3281 | 0.7466 | 0.3281 |
162
+ | No log | 3.3433 | 224 | 0.3377 | 0.7607 | 0.3377 |
163
+ | No log | 3.3731 | 226 | 0.3158 | 0.7340 | 0.3158 |
164
+ | No log | 3.4030 | 228 | 0.2957 | 0.7081 | 0.2957 |
165
+ | No log | 3.4328 | 230 | 0.2992 | 0.7140 | 0.2992 |
166
+ | No log | 3.4627 | 232 | 0.3063 | 0.7218 | 0.3063 |
167
+ | No log | 3.4925 | 234 | 0.3184 | 0.7298 | 0.3184 |
168
+ | No log | 3.5224 | 236 | 0.3368 | 0.7492 | 0.3368 |
169
+ | No log | 3.5522 | 238 | 0.3361 | 0.7488 | 0.3361 |
170
+ | No log | 3.5821 | 240 | 0.3091 | 0.7341 | 0.3091 |
171
+ | No log | 3.6119 | 242 | 0.2903 | 0.7114 | 0.2903 |
172
+ | No log | 3.6418 | 244 | 0.2887 | 0.7066 | 0.2887 |
173
+ | No log | 3.6716 | 246 | 0.2996 | 0.7274 | 0.2996 |
174
+ | No log | 3.7015 | 248 | 0.3100 | 0.7465 | 0.3100 |
175
+ | No log | 3.7313 | 250 | 0.3222 | 0.7545 | 0.3222 |
176
+ | No log | 3.7612 | 252 | 0.3362 | 0.7657 | 0.3362 |
177
+ | No log | 3.7910 | 254 | 0.3708 | 0.7816 | 0.3708 |
178
+ | No log | 3.8209 | 256 | 0.3823 | 0.7803 | 0.3823 |
179
+ | No log | 3.8507 | 258 | 0.3711 | 0.7799 | 0.3711 |
180
+ | No log | 3.8806 | 260 | 0.3283 | 0.7588 | 0.3283 |
181
+ | No log | 3.9104 | 262 | 0.2906 | 0.7152 | 0.2906 |
182
+ | No log | 3.9403 | 264 | 0.2818 | 0.6789 | 0.2818 |
183
+ | No log | 3.9701 | 266 | 0.2853 | 0.6354 | 0.2853 |
184
+ | No log | 4.0 | 268 | 0.2828 | 0.6511 | 0.2828 |
185
+ | No log | 4.0299 | 270 | 0.2831 | 0.6897 | 0.2831 |
186
+ | No log | 4.0597 | 272 | 0.2921 | 0.7002 | 0.2921 |
187
+ | No log | 4.0896 | 274 | 0.3105 | 0.7367 | 0.3105 |
188
+ | No log | 4.1194 | 276 | 0.3293 | 0.7447 | 0.3293 |
189
+ | No log | 4.1493 | 278 | 0.3376 | 0.7589 | 0.3376 |
190
+ | No log | 4.1791 | 280 | 0.3380 | 0.7617 | 0.3380 |
191
+ | No log | 4.2090 | 282 | 0.3289 | 0.7531 | 0.3289 |
192
+ | No log | 4.2388 | 284 | 0.3310 | 0.7580 | 0.3310 |
193
+ | No log | 4.2687 | 286 | 0.3411 | 0.7673 | 0.3411 |
194
+ | No log | 4.2985 | 288 | 0.3570 | 0.7693 | 0.3570 |
195
+ | No log | 4.3284 | 290 | 0.3615 | 0.7713 | 0.3615 |
196
+ | No log | 4.3582 | 292 | 0.3468 | 0.7754 | 0.3468 |
197
+ | No log | 4.3881 | 294 | 0.3233 | 0.7388 | 0.3233 |
198
+ | No log | 4.4179 | 296 | 0.3046 | 0.7277 | 0.3046 |
199
+ | No log | 4.4478 | 298 | 0.2949 | 0.7194 | 0.2949 |
200
+ | No log | 4.4776 | 300 | 0.2899 | 0.7098 | 0.2899 |
201
+ | No log | 4.5075 | 302 | 0.2876 | 0.6944 | 0.2876 |
202
+ | No log | 4.5373 | 304 | 0.2882 | 0.6944 | 0.2882 |
203
+ | No log | 4.5672 | 306 | 0.2910 | 0.7098 | 0.2910 |
204
+ | No log | 4.5970 | 308 | 0.2972 | 0.7173 | 0.2972 |
205
+ | No log | 4.6269 | 310 | 0.3095 | 0.7307 | 0.3095 |
206
+ | No log | 4.6567 | 312 | 0.3256 | 0.7388 | 0.3256 |
207
+ | No log | 4.6866 | 314 | 0.3452 | 0.7578 | 0.3452 |
208
+ | No log | 4.7164 | 316 | 0.3647 | 0.7688 | 0.3647 |
209
+ | No log | 4.7463 | 318 | 0.3846 | 0.7727 | 0.3846 |
210
+ | No log | 4.7761 | 320 | 0.3940 | 0.7746 | 0.3940 |
211
+ | No log | 4.8060 | 322 | 0.3935 | 0.7746 | 0.3935 |
212
+ | No log | 4.8358 | 324 | 0.3867 | 0.7674 | 0.3867 |
213
+ | No log | 4.8657 | 326 | 0.3786 | 0.7635 | 0.3786 |
214
+ | No log | 4.8955 | 328 | 0.3706 | 0.7674 | 0.3706 |
215
+ | No log | 4.9254 | 330 | 0.3649 | 0.7647 | 0.3649 |
216
+ | No log | 4.9552 | 332 | 0.3602 | 0.7661 | 0.3602 |
217
+ | No log | 4.9851 | 334 | 0.3584 | 0.7661 | 0.3584 |
 
 
 
218
 
219
 
220
  ### Framework versions
runs/Aug25_05-41-07_358cdae836c1/events.out.tfevents.1724564469.358cdae836c1.24.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:54bd7f5a51c0a8c302402644cc3c52ce03205351961b0370a259aa6df00f04b1
3
+ size 63971
runs/Aug25_06-04-04_358cdae836c1/events.out.tfevents.1724565845.358cdae836c1.24.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ad5fb86b74b5f089370092fefb7b1b99292be05c47bc64d4eecb231c03f9d19
3
+ size 63971
runs/Aug25_06-27-02_358cdae836c1/events.out.tfevents.1724567223.358cdae836c1.24.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de78c1ad7b5c9514a0365e804d73c17f286039708d330508569b805ca8f17210
3
+ size 63971
runs/Aug25_06-50-00_358cdae836c1/events.out.tfevents.1724568601.358cdae836c1.24.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:397aab7881cbdd8d469e36e3f452e7f53259711ed48bae070979de23f5f1cdda
3
+ size 63971
runs/Aug25_07-12-58_358cdae836c1/events.out.tfevents.1724569978.358cdae836c1.24.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e569a6a3ad18cd17034388837e72c2b1bdb335a57599e200481a497485daddd2
3
+ size 63971
runs/Aug25_07-35-55_358cdae836c1/events.out.tfevents.1724571356.358cdae836c1.24.5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cddfa82f884a624c1d72048008d8746fc02a955c942a2400ec02411afbec77da
3
+ size 65796
runs/Aug25_07-59-55_358cdae836c1/events.out.tfevents.1724572795.358cdae836c1.24.6 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7bce665bb0a6fd0a50fa5ffa9737ce4a506630a6339c9bb2ece7dfbfc0e72070
3
+ size 65796
runs/Aug25_08-24-05_358cdae836c1/events.out.tfevents.1724574246.358cdae836c1.24.7 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:96fb1e5eabcc8ecf6728578aed01c91aa6ec58eb97e6fe27026366b354c8813d
3
+ size 65796
runs/Aug25_08-48-17_358cdae836c1/events.out.tfevents.1724575698.358cdae836c1.24.8 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d3c92be3e664d9dcd4569d64608724fd7087cd24cec6357c35d497f924174e9
3
+ size 65796
runs/Aug25_09-12-24_358cdae836c1/events.out.tfevents.1724577145.358cdae836c1.24.9 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a019797beaa0af48ae48d7ab61416011727fb5808981e7f0fed40d3ad0a7fb71
3
+ size 65796
runs/Aug25_09-36-31_358cdae836c1/events.out.tfevents.1724578591.358cdae836c1.24.10 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a2516d7baab235757fa638cae13a5652a97acb1f0d8f4a5511393f4e1481f39f
3
+ size 66891
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:baaf43b206caf2d55f8f6be96edbf246ecc692baaf2afc321a1565e2a9b5a99a
3
  size 5176
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1a49deee1790703ad4944d2e562a26e4726c848d45bed5470e5529224576c04
3
  size 5176