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README.md
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tags:
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- generated_from_trainer
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metrics:
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This model is a fine-tuned version of [Tanor/BERTicSENTNEG4](https://huggingface.co/Tanor/BERTicSENTNEG4) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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| No log |
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| No log | 4.0 |
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| No log | 7.0 | 371 | 0.0501 | 0.6 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.
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- Datasets 2.
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- Tokenizers 0.13.3
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base_model: Tanor/BERTicSENTNEG4
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tags:
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- generated_from_trainer
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metrics:
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This model is a fine-tuned version of [Tanor/BERTicSENTNEG4](https://huggingface.co/Tanor/BERTicSENTNEG4) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0473
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- F1: 0.6667
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 0.98 | 47 | 0.0321 | 0.7727 |
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| No log | 1.99 | 95 | 0.0309 | 0.6667 |
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| No log | 2.99 | 143 | 0.0293 | 0.6809 |
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| No log | 4.0 | 191 | 0.0405 | 0.6429 |
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| No log | 4.98 | 238 | 0.0366 | 0.7442 |
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| No log | 5.99 | 286 | 0.0473 | 0.6667 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.1.0.dev20230801
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- Datasets 2.14.2
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- Tokenizers 0.13.3
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