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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: 6.3706
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- - Accuracy: 0.3333
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- - Precision: 0.4444
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- - Recall: 0.3333
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- - F1: 0.3556
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- - F1 Macro: 0.3556
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- - Precision Macro: 0.4444
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- - Recall Macro: 0.3333
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  ## Model description
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@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 5
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  - num_epochs: 3
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  ### Training results
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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 | 8.9810 | 0.3333 | 0.4444 | 0.3333 | 0.3556 | 0.3556 | 0.4444 | 0.3333 |
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- | No log | 2.0 | 6 | 7.1529 | 0.3333 | 0.4444 | 0.3333 | 0.3556 | 0.3556 | 0.4444 | 0.3333 |
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- | No log | 3.0 | 9 | 6.3706 | 0.3333 | 0.4444 | 0.3333 | 0.3556 | 0.3556 | 0.4444 | 0.3333 |
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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: 2.7144
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+ - Accuracy: 0.3846
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+ - Precision: 0.4462
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+ - Recall: 0.3846
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+ - F1: 0.4126
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+ - F1 Macro: 0.3258
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+ - Precision Macro: 0.3500
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+ - Recall Macro: 0.3056
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 12
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  - num_epochs: 3
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  ### Training results
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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 | 7 | 5.3820 | 0.3077 | 0.3077 | 0.3077 | 0.3077 | 0.2222 | 0.2222 | 0.2222 |
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+ | 4.744 | 2.0 | 14 | 3.3730 | 0.3846 | 0.4462 | 0.3846 | 0.4126 | 0.3258 | 0.3500 | 0.3056 |
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+ | 1.0682 | 3.0 | 21 | 2.7144 | 0.3846 | 0.4462 | 0.3846 | 0.4126 | 0.3258 | 0.3500 | 0.3056 |
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  ### Framework versions
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