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kalai_fine_tuned_model_3
Browse files- README.md +10 -20
- model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) 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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- 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 | Accuracy |
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| No log | 1.0 | 28 | 0.
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| No log | 2.0 | 56 | 0.
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| No log | 3.0 | 84 |
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| No log | 4.0 | 112 | 0.
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| No log | 5.0 | 140 | 0.
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| No log | 6.0 | 168 | 0.1550 | 0.9640 |
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| No log | 7.0 | 196 | 0.1547 | 0.9730 |
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| No log | 8.0 | 224 | 0.1794 | 0.9640 |
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| No log | 9.0 | 252 | 0.1822 | 0.9640 |
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| No log | 10.0 | 280 | 0.1845 | 0.9640 |
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| No log | 11.0 | 308 | 0.1834 | 0.9640 |
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| No log | 12.0 | 336 | 0.1827 | 0.9640 |
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| No log | 13.0 | 364 | 0.1694 | 0.9730 |
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| No log | 14.0 | 392 | 0.1714 | 0.9730 |
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| No log | 15.0 | 420 | 0.1737 | 0.9730 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.2.
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1628
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- Accuracy: 0.9550
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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: 5
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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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| No log | 1.0 | 28 | 0.4061 | 0.9279 |
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| No log | 2.0 | 56 | 0.2302 | 0.9550 |
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| No log | 3.0 | 84 | 0.1830 | 0.9640 |
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| No log | 4.0 | 112 | 0.1639 | 0.9550 |
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| No log | 5.0 | 140 | 0.1628 | 0.9550 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.2+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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