Training completed!
Browse files- README.md +5 -5
- config.json +1 -0
- model.safetensors +2 -2
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) 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: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.
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| 0.
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### Framework versions
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2085
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- F1: 0.8447
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.3123 | 1.0 | 1915 | 0.2210 | 0.8071 |
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| 0.1838 | 2.0 | 3830 | 0.1987 | 0.8311 |
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| 0.1232 | 3.0 | 5745 | 0.2085 | 0.8447 |
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### Framework versions
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config.json
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B-PER",
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"2": "I-PER",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"-100": "IGN",
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"0": "O",
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"1": "B-PER",
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"2": "I-PER",
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model.safetensors
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training_args.bin
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size 5176
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