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twitter_trainer

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bert
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bert-base-case-financial-news-twitter-sentiment

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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6231
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- - Accuracy: 79.1
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- - P: 97.2874
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- - R: 107.8862
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- - F1: 102.3130
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  ## Model description
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@@ -55,15 +55,15 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | P | R | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|:--------:|:--------:|
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- | No log | 1.0 | 63 | 1.0913 | 64.3 | 89.9301 | 138.4284 | 109.0292 |
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- | No log | 2.0 | 126 | 0.8107 | 67.3 | 90.5817 | 128.2353 | 106.1688 |
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- | No log | 3.0 | 189 | 0.6766 | 74.6 | 92.8424 | 112.6984 | 101.8113 |
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- | No log | 4.0 | 252 | 0.6369 | 76.4 | 95.0107 | 108.6390 | 101.3688 |
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- | No log | 5.0 | 315 | 0.6300 | 78.3 | 97.6935 | 106.8348 | 102.0599 |
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- | No log | 6.0 | 378 | 0.6253 | 79.3 | 97.4302 | 107.4494 | 102.1948 |
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- | No log | 6.896 | 434 | 0.6231 | 79.1 | 97.2874 | 107.8862 | 102.3130 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7924
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+ - Accuracy: 86.8509
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+ - P: 102.7555
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+ - R: 100.3442
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+ - F1: 101.5355
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | P | R | F1 |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:--------:|:--------:|
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+ | 3.6245 | 1.0 | 597 | 0.4451 | 84.1709 | 99.8149 | 103.1569 | 101.4584 |
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+ | 1.8323 | 2.0 | 1194 | 0.3794 | 86.0972 | 102.3665 | 100.0625 | 101.2014 |
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+ | 1.233 | 3.0 | 1791 | 0.3715 | 87.5209 | 100.9234 | 102.3408 | 101.6272 |
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+ | 0.9132 | 4.0 | 2388 | 0.5171 | 87.1022 | 102.4483 | 100.4991 | 101.4643 |
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+ | 0.6928 | 5.0 | 2985 | 0.6683 | 86.9347 | 102.6526 | 100.5006 | 101.5652 |
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+ | 0.4037 | 6.0 | 3582 | 0.7477 | 87.3534 | 101.8838 | 101.3746 | 101.6286 |
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+ | 0.3334 | 6.9891 | 4172 | 0.7924 | 86.8509 | 102.7555 | 100.3442 | 101.5355 |
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  ### Framework versions
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