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End of training

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README.md CHANGED
@@ -17,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2341
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- - Accuracy: 0.9242
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- - Precision Macro: 0.9257
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- - Recall Macro: 0.9226
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- - F1 Macro: 0.9239
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- - Precision Weighted: 0.9248
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- - Recall Weighted: 0.9242
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- - F1 Weighted: 0.9243
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  ## Model description
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@@ -58,9 +58,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision Macro | Recall Macro | F1 Macro | Precision Weighted | Recall Weighted | F1 Weighted |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|:------------------:|:---------------:|:-----------:|
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- | 0.3055 | 1.0 | 64 | 0.3031 | 0.8907 | 0.8912 | 0.8908 | 0.8899 | 0.8915 | 0.8907 | 0.8900 |
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- | 0.1886 | 2.0 | 128 | 0.2415 | 0.9232 | 0.9236 | 0.9226 | 0.9230 | 0.9233 | 0.9232 | 0.9231 |
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- | 0.1902 | 3.0 | 192 | 0.2341 | 0.9242 | 0.9257 | 0.9226 | 0.9239 | 0.9248 | 0.9242 | 0.9243 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1984
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+ - Accuracy: 0.9370
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+ - Precision Macro: 0.9373
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+ - Recall Macro: 0.9345
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+ - F1 Macro: 0.9357
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+ - Precision Weighted: 0.9372
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+ - Recall Weighted: 0.9370
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+ - F1 Weighted: 0.9369
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision Macro | Recall Macro | F1 Macro | Precision Weighted | Recall Weighted | F1 Weighted |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|:------------------:|:---------------:|:-----------:|
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+ | 0.2343 | 1.0 | 64 | 0.2211 | 0.9252 | 0.9235 | 0.9248 | 0.9239 | 0.9255 | 0.9252 | 0.9251 |
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+ | 0.1129 | 2.0 | 128 | 0.2009 | 0.9350 | 0.9340 | 0.9330 | 0.9334 | 0.9349 | 0.9350 | 0.9349 |
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+ | 0.1176 | 3.0 | 192 | 0.1984 | 0.9370 | 0.9373 | 0.9345 | 0.9357 | 0.9372 | 0.9370 | 0.9369 |
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  ### Framework versions
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