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karoldobiczek
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roberta-large-fomc

Text Classification
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Safetensors
roberta
Generated from Trainer
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  1. README.md +32 -32
  2. model.safetensors +1 -1
  3. tokenizer.json +14 -2
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7442
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- - Accuracy: 0.7004
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  ## Model description
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@@ -50,36 +50,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | No log | 0.0083 | 1 | 1.0825 | 0.4494 |
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- | 1.0781 | 0.2149 | 26 | 1.0527 | 0.4899 |
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- | 1.0921 | 0.4215 | 51 | 1.0702 | 0.4858 |
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- | 1.1066 | 0.6281 | 76 | 1.0311 | 0.5101 |
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- | 1.0294 | 0.8347 | 101 | 1.0326 | 0.5101 |
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- | 0.9616 | 1.0 | 121 | 0.9298 | 0.5628 |
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- | 0.9616 | 1.0413 | 126 | 0.9470 | 0.5385 |
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- | 1.0352 | 1.2479 | 151 | 0.9495 | 0.5223 |
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- | 0.8549 | 1.4545 | 176 | 0.7898 | 0.6721 |
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- | 0.8056 | 1.6612 | 201 | 0.8293 | 0.6113 |
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- | 0.7826 | 1.8678 | 226 | 0.7240 | 0.6842 |
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- | 0.6788 | 2.0 | 242 | 0.7777 | 0.6964 |
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- | 0.6884 | 2.0744 | 251 | 0.9586 | 0.6640 |
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- | 0.683 | 2.2810 | 276 | 0.7253 | 0.7206 |
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- | 0.7429 | 2.4876 | 301 | 0.8291 | 0.6640 |
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- | 0.7062 | 2.6942 | 326 | 0.7772 | 0.6802 |
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- | 0.6384 | 2.9008 | 351 | 0.7010 | 0.7166 |
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- | 0.6207 | 3.0 | 363 | 0.7442 | 0.7004 |
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- | 0.6537 | 3.1074 | 376 | 0.7558 | 0.7126 |
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- | 0.5297 | 3.3140 | 401 | 1.0098 | 0.6721 |
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- | 0.5263 | 3.5207 | 426 | 0.8447 | 0.6802 |
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- | 0.5589 | 3.7273 | 451 | 0.6877 | 0.7247 |
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- | 0.5511 | 3.9339 | 476 | 0.8100 | 0.7206 |
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- | 0.6894 | 4.0 | 484 | 0.9658 | 0.6194 |
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- | 0.6021 | 4.1405 | 501 | 0.7866 | 0.7206 |
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- | 0.5072 | 4.3471 | 526 | 0.7796 | 0.7206 |
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- | 0.4471 | 4.5537 | 551 | 0.7123 | 0.7368 |
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- | 0.4323 | 4.7603 | 576 | 0.7742 | 0.7287 |
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- | 0.3836 | 4.9669 | 601 | 0.8080 | 0.7490 |
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- | 0.3836 | 5.0 | 605 | 0.8050 | 0.7530 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7874
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+ - Accuracy: 0.6660
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | No log | 0.0083 | 1 | 1.0582 | 0.4980 |
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+ | 1.0574 | 0.2149 | 26 | 1.0428 | 0.4980 |
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+ | 1.0702 | 0.4215 | 51 | 1.0500 | 0.4980 |
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+ | 1.1065 | 0.6281 | 76 | 1.0374 | 0.4980 |
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+ | 1.0241 | 0.8347 | 101 | 1.0391 | 0.4980 |
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+ | 1.0324 | 1.0 | 121 | 1.0191 | 0.4980 |
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+ | 1.0324 | 1.0413 | 126 | 1.0097 | 0.4980 |
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+ | 0.9751 | 1.2479 | 151 | 1.0542 | 0.4737 |
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+ | 1.0134 | 1.4545 | 176 | 0.9746 | 0.5931 |
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+ | 0.9276 | 1.6612 | 201 | 0.8633 | 0.5648 |
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+ | 0.8469 | 1.8678 | 226 | 0.7729 | 0.6538 |
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+ | 0.7992 | 2.0 | 242 | 0.7874 | 0.6660 |
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+ | 0.8853 | 2.0744 | 251 | 0.8597 | 0.6680 |
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+ | 0.6466 | 2.2810 | 276 | 0.7767 | 0.6498 |
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+ | 0.778 | 2.4876 | 301 | 1.0588 | 0.6498 |
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+ | 0.7202 | 2.6942 | 326 | 0.7493 | 0.6721 |
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+ | 0.7108 | 2.9008 | 351 | 0.8892 | 0.6397 |
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+ | 0.6354 | 3.0 | 363 | 0.8265 | 0.6579 |
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+ | 0.7704 | 3.1074 | 376 | 0.7833 | 0.6781 |
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+ | 0.6867 | 3.3140 | 401 | 0.9702 | 0.6478 |
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+ | 0.6973 | 3.5207 | 426 | 1.0300 | 0.6700 |
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+ | 0.6682 | 3.7273 | 451 | 0.8206 | 0.6781 |
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+ | 0.6605 | 3.9339 | 476 | 0.8862 | 0.6822 |
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+ | 0.8521 | 4.0 | 484 | 0.8093 | 0.6316 |
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+ | 0.6442 | 4.1405 | 501 | 0.9483 | 0.6437 |
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+ | 0.577 | 4.3471 | 526 | 0.8860 | 0.6883 |
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+ | 0.5252 | 4.5537 | 551 | 0.8797 | 0.7045 |
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+ | 0.5274 | 4.7603 | 576 | 0.7289 | 0.7024 |
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+ | 0.467 | 4.9669 | 601 | 0.8224 | 0.6903 |
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+ | 0.467 | 5.0 | 605 | 0.8218 | 0.6903 |
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  ### Framework versions
model.safetensors CHANGED
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