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README.md CHANGED
@@ -19,14 +19,14 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [yiyanghkust/finbert-tone](https://huggingface.co/yiyanghkust/finbert-tone) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 8.9858
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- - Accuracy: 0.0
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- - Precision: 0.0
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- - Recall: 0.0
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- - F1: 0.0
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- - F1 Macro: 0.0
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- - Precision Macro: 0.0
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- - Recall Macro: 0.0
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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 | Recall | F1 | F1 Macro | Precision Macro | Recall Macro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|:--------:|:---------------:|:------------:|
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- | No log | 1.0 | 3 | 12.4630 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 2.0 | 6 | 10.2042 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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- | No log | 3.0 | 9 | 8.9858 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [yiyanghkust/finbert-tone](https://huggingface.co/yiyanghkust/finbert-tone) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0242
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+ - Accuracy: 1.0
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+ - Precision: 1.0
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+ - Recall: 1.0
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+ - F1: 1.0
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+ - F1 Macro: 1.0
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+ - Precision Macro: 1.0
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+ - Recall Macro: 1.0
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | F1 Macro | Precision Macro | Recall Macro |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|:--------:|:---------------:|:------------:|
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+ | No log | 1.0 | 3 | 0.0131 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 2.0 | 6 | 0.0211 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 3.0 | 9 | 0.0242 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
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