Model save
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README.md
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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:
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- F1 Macro: 0.
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- Precision Macro: 0.
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- Recall Macro: 0.
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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:
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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 |
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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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logs/events.out.tfevents.1752048912.pkrvmfkh1xnbeme.2362.0
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size 7638
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