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README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) 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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- F1: 0.
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## Model description
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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: 5
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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### Framework versions
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9256
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- F1: 0.4541
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## Model description
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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: 5
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 2.1225 | 1.18 | 100 | 1.8712 | 0.1078 |
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| 1.7933 | 2.35 | 200 | 1.6171 | 0.1861 |
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| 1.5819 | 3.53 | 300 | 1.4004 | 0.2706 |
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| 1.4077 | 4.71 | 400 | 1.2577 | 0.2964 |
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| 1.2928 | 5.88 | 500 | 1.1136 | 0.3732 |
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| 1.182 | 7.06 | 600 | 1.0234 | 0.4052 |
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| 1.1092 | 8.24 | 700 | 0.9653 | 0.4457 |
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| 1.052 | 9.41 | 800 | 0.9256 | 0.4541 |
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### Framework versions
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