Training complete
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- pytorch_model.bin +1 -1
README.md
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This model was trained from scratch 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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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:
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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: cosine
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### Training results
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| Training Loss | Epoch | Step
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| 1.4221 | 1.0 | 30000 | 0.4457 | 0.9211 |
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### Framework versions
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- Transformers 4.38.
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- Pytorch 2.1
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8755
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- Accuracy: 0.7778
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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: 2
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- eval_batch_size: 4
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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: cosine
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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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| 2.0279 | 0.1 | 371 | 2.5090 | 0.1111 |
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| 1.3557 | 0.2 | 742 | 1.0745 | 0.6667 |
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| 1.5255 | 0.3 | 1113 | 1.1685 | 0.6667 |
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| 0.7389 | 0.4 | 1484 | 1.3240 | 0.5556 |
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| 0.9114 | 0.5 | 1855 | 1.2930 | 0.6667 |
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| 0.0422 | 0.6 | 2226 | 1.1987 | 0.6667 |
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| 1.5648 | 0.7 | 2597 | 0.5782 | 0.7778 |
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| 1.7356 | 0.8 | 2968 | 0.7707 | 0.6667 |
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| 0.0145 | 0.9 | 3339 | 0.8755 | 0.7778 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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pytorch_model.bin
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size 516667930
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