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README.md
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 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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- Accuracy: 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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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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| No log | 1.0 | 4 | 0.
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| No log | 2.0 | 8 | 0.
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| No log | 3.0 | 12 | 0.
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| No log | 4.0 | 16 | 0.
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### Framework versions
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0268
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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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- Accuracy: 0.9899
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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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- num_epochs: 6.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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| No log | 1.0 | 4 | 0.1526 | 0.0 | 0.0 | 0.0 | 0.9588 |
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| No log | 2.0 | 8 | 0.0875 | 0.0 | 0.0 | 0.0 | 0.9588 |
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| No log | 3.0 | 12 | 0.0396 | 0.0 | 0.0 | 0.0 | 0.9877 |
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| No log | 4.0 | 16 | 0.0322 | 0.0 | 0.0 | 0.0 | 0.9899 |
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| No log | 5.0 | 20 | 0.0270 | 0.0 | 0.0 | 0.0 | 0.9906 |
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| No log | 6.0 | 24 | 0.0268 | 0.0 | 0.0 | 0.0 | 0.9899 |
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### Framework versions
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