End of training
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README.md
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown 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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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size: 8
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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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- training_steps:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.
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| 1.
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| 1.
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| 1.5109 | 0.008 | 40 | 1.6153 | 0.242 |
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| 1.5818 | 0.01 | 50 | 1.6396 | 0.207 |
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| 1.6034 | 0.012 | 60 | 1.6279 | 0.182 |
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| 1.6424 | 0.014 | 70 | 1.6126 | 0.1855 |
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| 1.5971 | 0.016 | 80 | 1.6652 | 0.1825 |
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| 1.7618 | 0.018 | 90 | 1.6567 | 0.1805 |
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| 1.5627 | 0.02 | 100 | 1.6434 | 0.2 |
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### Framework versions
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9648
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- Accuracy: 0.5735
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 10
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- eval_batch_size: 8
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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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- training_steps: 300
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.0667 | 0.1 | 100 | 1.1555 | 0.5195 |
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| 1.0891 | 0.2 | 200 | 0.9845 | 0.5625 |
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| 1.0064 | 0.3 | 300 | 0.9648 | 0.5735 |
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### Framework versions
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model.safetensors
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tokenizer.json
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training_args.bin
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