Training complete
Browse files- README.md +13 -13
- config.json +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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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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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 23 | 1.
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| No log | 2.0 | 46 | 1.
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| No log | 3.0 | 69 | 1.
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| No log | 4.0 | 92 | 1.
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| No log | 5.0 | 115 | 1.
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| No log | 6.0 | 138 | 1.
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| No log | 7.0 | 161 | 1.
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| No log | 8.0 | 184 | 1.
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| No log | 9.0 | 207 | 1.
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| No log | 10.0 | 230 | 1.
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### Framework versions
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- Transformers 4.47.
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0767
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- Accuracy: 0.6809
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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 | 1.0 | 23 | 1.7712 | 0.3404 |
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| No log | 2.0 | 46 | 1.6196 | 0.4255 |
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| No log | 3.0 | 69 | 1.3435 | 0.6170 |
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| No log | 4.0 | 92 | 1.1709 | 0.6596 |
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| No log | 5.0 | 115 | 1.1059 | 0.6170 |
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| No log | 6.0 | 138 | 1.0863 | 0.6809 |
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| No log | 7.0 | 161 | 1.1387 | 0.7021 |
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| No log | 8.0 | 184 | 1.0747 | 0.6809 |
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| No log | 9.0 | 207 | 1.0624 | 0.6809 |
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| No log | 10.0 | 230 | 1.0767 | 0.6809 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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config.json
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"summary_type": "first",
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"summary_use_proj": true,
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"torch_dtype": "float32",
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"transformers_version": "4.47.
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 31002
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"summary_type": "first",
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"summary_use_proj": true,
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"torch_dtype": "float32",
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"transformers_version": "4.47.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 31002
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model.safetensors
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training_args.bin
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