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scenario-TCR-XLMV-XCOPA-3_data-xcopa_all

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PyTorch
xlm-roberta
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  1. README.md +47 -57
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingface.co/facebook/xlm-v-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6931
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- - Accuracy: 0.5233
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- - F1: 0.4938
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  ## Model description
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@@ -51,61 +51,51 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 0.38 | 5 | 0.6932 | 0.5042 | 0.4875 |
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- | No log | 0.77 | 10 | 0.6932 | 0.5075 | 0.4883 |
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- | No log | 1.15 | 15 | 0.6931 | 0.5342 | 0.5169 |
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- | No log | 1.54 | 20 | 0.6931 | 0.525 | 0.5120 |
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- | No log | 1.92 | 25 | 0.6931 | 0.5033 | 0.4966 |
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- | No log | 2.31 | 30 | 0.6931 | 0.5333 | 0.5189 |
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- | No log | 2.69 | 35 | 0.6937 | 0.4692 | 0.4287 |
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- | No log | 3.08 | 40 | 0.6930 | 0.5375 | 0.5277 |
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- | No log | 3.46 | 45 | 0.6931 | 0.5317 | 0.5180 |
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- | No log | 3.85 | 50 | 0.6933 | 0.5075 | 0.4865 |
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- | No log | 4.23 | 55 | 0.6931 | 0.5325 | 0.5075 |
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- | No log | 4.62 | 60 | 0.6931 | 0.5317 | 0.5164 |
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- | No log | 5.0 | 65 | 0.6931 | 0.5233 | 0.5069 |
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- | No log | 5.38 | 70 | 0.6931 | 0.5058 | 0.4875 |
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- | No log | 5.77 | 75 | 0.6931 | 0.4867 | 0.4596 |
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- | No log | 6.15 | 80 | 0.6931 | 0.4967 | 0.4739 |
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- | No log | 6.54 | 85 | 0.6931 | 0.4883 | 0.4642 |
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- | No log | 6.92 | 90 | 0.6931 | 0.4667 | 0.4502 |
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- | No log | 7.31 | 95 | 0.6931 | 0.49 | 0.4715 |
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- | No log | 7.69 | 100 | 0.6931 | 0.5208 | 0.5064 |
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- | No log | 8.08 | 105 | 0.6931 | 0.5275 | 0.5108 |
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- | No log | 8.46 | 110 | 0.6931 | 0.5058 | 0.4910 |
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- | No log | 8.85 | 115 | 0.6931 | 0.5058 | 0.4803 |
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- | No log | 9.23 | 120 | 0.6931 | 0.5225 | 0.4987 |
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- | No log | 9.62 | 125 | 0.6931 | 0.5442 | 0.5280 |
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- | No log | 10.0 | 130 | 0.6931 | 0.5075 | 0.4700 |
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- | No log | 10.38 | 135 | 0.6931 | 0.5242 | 0.4969 |
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- | No log | 10.77 | 140 | 0.6931 | 0.5058 | 0.4839 |
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- | No log | 11.15 | 145 | 0.6931 | 0.5067 | 0.4879 |
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- | No log | 11.54 | 150 | 0.6931 | 0.5075 | 0.4910 |
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- | No log | 11.92 | 155 | 0.6931 | 0.5083 | 0.4887 |
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- | No log | 12.31 | 160 | 0.6931 | 0.5375 | 0.5186 |
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- | No log | 12.69 | 165 | 0.6931 | 0.5417 | 0.5234 |
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- | No log | 13.08 | 170 | 0.6931 | 0.5375 | 0.5161 |
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- | No log | 13.46 | 175 | 0.6931 | 0.545 | 0.5277 |
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- | No log | 13.85 | 180 | 0.6931 | 0.5433 | 0.5243 |
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- | No log | 14.23 | 185 | 0.6931 | 0.545 | 0.5269 |
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- | No log | 14.62 | 190 | 0.6931 | 0.5442 | 0.5248 |
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- | No log | 15.0 | 195 | 0.6931 | 0.5367 | 0.5131 |
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- | No log | 15.38 | 200 | 0.6931 | 0.5275 | 0.5004 |
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- | No log | 15.77 | 205 | 0.6931 | 0.5142 | 0.4854 |
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- | No log | 16.15 | 210 | 0.6931 | 0.5117 | 0.4878 |
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- | No log | 16.54 | 215 | 0.6931 | 0.5167 | 0.4903 |
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- | No log | 16.92 | 220 | 0.6931 | 0.5208 | 0.4943 |
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- | No log | 17.31 | 225 | 0.6931 | 0.5233 | 0.4974 |
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- | No log | 17.69 | 230 | 0.6931 | 0.5292 | 0.5022 |
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- | No log | 18.08 | 235 | 0.6931 | 0.5317 | 0.5070 |
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- | No log | 18.46 | 240 | 0.6931 | 0.5233 | 0.5000 |
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- | No log | 18.85 | 245 | 0.6931 | 0.5192 | 0.4969 |
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- | No log | 19.23 | 250 | 0.6931 | 0.5208 | 0.4952 |
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- | No log | 19.62 | 255 | 0.6931 | 0.5217 | 0.4947 |
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- | No log | 20.0 | 260 | 0.6931 | 0.5225 | 0.4978 |
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- | No log | 20.38 | 265 | 0.6931 | 0.5258 | 0.4996 |
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- | No log | 20.77 | 270 | 0.6931 | 0.52 | 0.4912 |
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- | No log | 21.15 | 275 | 0.6931 | 0.5233 | 0.4938 |
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  ### Framework versions
 
19
  This model is a fine-tuned version of [facebook/xlm-v-base](https://huggingface.co/facebook/xlm-v-base) on the None dataset.
20
  It achieves the following results on the evaluation set:
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  - Loss: 0.6931
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+ - Accuracy: 0.4625
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+ - F1: 0.4277
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  ## Model description
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51
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
53
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 0.38 | 5 | 0.6932 | 0.4725 | 0.4472 |
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+ | No log | 0.77 | 10 | 0.6932 | 0.4892 | 0.4656 |
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+ | No log | 1.15 | 15 | 0.6932 | 0.4867 | 0.45 |
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+ | No log | 1.54 | 20 | 0.6932 | 0.49 | 0.4584 |
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+ | No log | 1.92 | 25 | 0.6931 | 0.51 | 0.4722 |
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+ | No log | 2.31 | 30 | 0.6931 | 0.5042 | 0.4730 |
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+ | No log | 2.69 | 35 | 0.6932 | 0.4825 | 0.4576 |
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+ | No log | 3.08 | 40 | 0.6931 | 0.4767 | 0.4520 |
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+ | No log | 3.46 | 45 | 0.6931 | 0.4842 | 0.4556 |
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+ | No log | 3.85 | 50 | 0.6931 | 0.4883 | 0.4508 |
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+ | No log | 4.23 | 55 | 0.6931 | 0.5392 | 0.5145 |
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+ | No log | 4.62 | 60 | 0.6931 | 0.5508 | 0.5183 |
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+ | No log | 5.0 | 65 | 0.6931 | 0.5392 | 0.5076 |
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+ | No log | 5.38 | 70 | 0.6931 | 0.5567 | 0.5325 |
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+ | No log | 5.77 | 75 | 0.6931 | 0.5642 | 0.5368 |
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+ | No log | 6.15 | 80 | 0.6931 | 0.4483 | 0.4173 |
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+ | No log | 6.54 | 85 | 0.6931 | 0.4358 | 0.4025 |
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+ | No log | 6.92 | 90 | 0.6931 | 0.4492 | 0.4257 |
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+ | No log | 7.31 | 95 | 0.6931 | 0.4442 | 0.4185 |
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+ | No log | 7.69 | 100 | 0.6931 | 0.4492 | 0.4207 |
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+ | No log | 8.08 | 105 | 0.6931 | 0.4575 | 0.4294 |
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+ | No log | 8.46 | 110 | 0.6931 | 0.4592 | 0.4322 |
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+ | No log | 8.85 | 115 | 0.6931 | 0.4583 | 0.4268 |
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+ | No log | 9.23 | 120 | 0.6931 | 0.4567 | 0.4240 |
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+ | No log | 9.62 | 125 | 0.6931 | 0.465 | 0.4309 |
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+ | No log | 10.0 | 130 | 0.6931 | 0.5608 | 0.5239 |
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+ | No log | 10.38 | 135 | 0.6931 | 0.5525 | 0.5244 |
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+ | No log | 10.77 | 140 | 0.6931 | 0.5542 | 0.5253 |
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+ | No log | 11.15 | 145 | 0.6931 | 0.5567 | 0.5284 |
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+ | No log | 11.54 | 150 | 0.6931 | 0.5517 | 0.5247 |
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+ | No log | 11.92 | 155 | 0.6931 | 0.5567 | 0.5325 |
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+ | No log | 12.31 | 160 | 0.6931 | 0.5483 | 0.5271 |
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+ | No log | 12.69 | 165 | 0.6931 | 0.5183 | 0.5009 |
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+ | No log | 13.08 | 170 | 0.6931 | 0.5125 | 0.4891 |
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+ | No log | 13.46 | 175 | 0.6931 | 0.4917 | 0.4696 |
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+ | No log | 13.85 | 180 | 0.6931 | 0.4683 | 0.4462 |
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+ | No log | 14.23 | 185 | 0.6931 | 0.4758 | 0.4507 |
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+ | No log | 14.62 | 190 | 0.6931 | 0.515 | 0.4913 |
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+ | No log | 15.0 | 195 | 0.6931 | 0.5242 | 0.5048 |
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+ | No log | 15.38 | 200 | 0.6931 | 0.5208 | 0.4996 |
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+ | No log | 15.77 | 205 | 0.6931 | 0.4567 | 0.4389 |
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+ | No log | 16.15 | 210 | 0.6931 | 0.4492 | 0.4145 |
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+ | No log | 16.54 | 215 | 0.6931 | 0.465 | 0.4309 |
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+ | No log | 16.92 | 220 | 0.6931 | 0.4633 | 0.4270 |
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+ | No log | 17.31 | 225 | 0.6931 | 0.4625 | 0.4277 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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