devcryptodude
commited on
End of training
Browse files
README.md
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) 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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- F1-score: 1.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1-score |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0081
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- F1-score: 1.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1-score |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.141 | 1.0 | 15 | 0.5945 | 0.7429 |
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| 0.0276 | 2.0 | 30 | 0.3179 | 0.9284 |
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| 0.0049 | 3.0 | 45 | 0.0169 | 1.0 |
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| 0.0042 | 4.0 | 60 | 0.0097 | 1.0 |
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| 0.0025 | 5.0 | 75 | 0.0081 | 1.0 |
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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config.json
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"vocab_size": 28996
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}
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.39.0.dev0",
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"vocab_size": 28996
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}
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model.safetensors
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runs/Feb24_18-19-59_instance-1/events.out.tfevents.1708798800.instance-1.488212.0
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training_args.bin
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