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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the None 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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 0.99 | 56 | 1.
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### Framework versions
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- Transformers 4.
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- Pytorch 1.
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- Datasets
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- Tokenizers 0.11.6
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---
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license: apache-2.0
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tags:
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- hf-course
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- generated_from_trainer
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metrics:
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- accuracy
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6694
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- Accuracy: 0.82
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 0.99 | 56 | 1.9426 | 0.5 |
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| No log | 1.99 | 112 | 1.4157 | 0.63 |
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| No log | 2.99 | 168 | 1.1351 | 0.69 |
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| No log | 3.99 | 224 | 1.0285 | 0.72 |
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| No log | 4.99 | 280 | 0.8538 | 0.79 |
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| No log | 5.99 | 336 | 0.8015 | 0.74 |
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| No log | 6.99 | 392 | 0.6694 | 0.82 |
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| No log | 7.99 | 448 | 0.6779 | 0.79 |
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| 1.0811 | 8.99 | 504 | 0.6414 | 0.81 |
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| 1.0811 | 9.99 | 560 | 0.6443 | 0.82 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.11.0
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- Datasets 2.6.1
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- Tokenizers 0.11.6
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