alexpaunoiu
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Model save
Browse files- README.md +13 -13
- config.json +1 -1
- pytorch_model.bin +2 -2
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) 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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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1537
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.945 | 1.0 | 33 | 0.9316 |
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| 0.5897 | 1.99 | 66 | 0.3983 |
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| 0.2354 | 2.99 | 99 | 0.2213 |
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| 0.237 | 3.98 | 132 | 0.1955 |
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| 0.2126 | 4.98 | 165 | 0.1485 |
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| 0.124 | 5.98 | 198 | 0.1412 |
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| 0.1857 | 6.97 | 231 | 0.1540 |
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| 0.108 | 8.0 | 265 | 0.1602 |
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| 0.0801 | 9.0 | 298 | 0.1561 |
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| 0.0421 | 9.99 | 331 | 0.1430 |
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| 0.015 | 10.99 | 364 | 0.1480 |
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| 0.0113 | 11.95 | 396 | 0.1537 |
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### Framework versions
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config.json
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"transformers_version": "4.34.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size":
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}
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"transformers_version": "4.34.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 36969
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}
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pytorch_model.bin
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training_args.bin
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