Model save
Browse files
README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 | 4 | 5.
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| No log | 2.0 | 8 | 5.
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| No log | 3.0 | 12 | 5.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.5274
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 4 | 5.6970 |
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| No log | 2.0 | 8 | 5.5763 |
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| No log | 3.0 | 12 | 5.5274 |
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### Framework versions
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- Transformers 4.36.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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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": 30522
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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": "4.36.0",
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"vocab_size": 30522
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}
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model.safetensors
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runs/Dec12_03-24-19_f27261576041/events.out.tfevents.1702351460.f27261576041.14693.0
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training_args.bin
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