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Bencode92
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tradepulse-finbert-importance

Text Classification
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bert
finance
sentiment-analysis
finbert
trading
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  1. README.md +11 -11
  2. logs/events.out.tfevents.1752046495.pkrvmfkh1xnbeme.2425.0 +2 -2
  3. model.safetensors +1 -1
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: 0.5003
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- - Accuracy: 0.8333
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- - Precision: 0.8889
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- - Recall: 0.8333
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- - F1: 0.8333
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- - F1 Macro: 0.8667
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- - Precision Macro: 0.8889
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- - Recall Macro: 0.8889
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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 | 2.0686 | 0.6667 | 0.6667 | 0.6667 | 0.6667 | 0.7222 | 0.7222 | 0.7222 |
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- | No log | 2.0 | 6 | 1.1956 | 0.8333 | 0.8889 | 0.8333 | 0.8333 | 0.8667 | 0.8889 | 0.8889 |
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- | No log | 3.0 | 9 | 0.5003 | 0.8333 | 0.8889 | 0.8333 | 0.8333 | 0.8667 | 0.8889 | 0.8889 |
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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: 3.6407
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+ - Accuracy: 0.6667
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+ - Precision: 0.6667
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+ - Recall: 0.6667
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+ - F1: 0.6667
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+ - F1 Macro: 0.7222
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+ - Precision Macro: 0.7222
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+ - Recall Macro: 0.7222
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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 | 3.7374 | 0.6667 | 0.6667 | 0.6667 | 0.6667 | 0.7222 | 0.7222 | 0.7222 |
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+ | No log | 2.0 | 6 | 3.4250 | 0.6667 | 0.6667 | 0.6667 | 0.6667 | 0.7222 | 0.7222 | 0.7222 |
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+ | No log | 3.0 | 9 | 3.6407 | 0.6667 | 0.6667 | 0.6667 | 0.6667 | 0.7222 | 0.7222 | 0.7222 |
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  ### Framework versions
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