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End of training
Browse files- README.md +10 -24
- model.safetensors +1 -1
README.md
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base_model: FacebookAI/xlm-roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: my_awesome_ner-token_classification_v1.0
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results: []
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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- lr_scheduler_type: cosine
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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| 1.0426 | 1.9912 | 225 | 0.8857 | 0.3633 | 0.3365 | 0.3494 | 0.7753 |
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| 0.7028 | 3.9823 | 450 | 0.7244 | 0.4994 | 0.4647 | 0.4815 | 0.8136 |
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| 0.5281 | 5.9735 | 675 | 0.6965 | 0.4933 | 0.5513 | 0.5207 | 0.8124 |
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| 0.3767 | 7.9646 | 900 | 0.7331 | 0.4760 | 0.5406 | 0.5063 | 0.8169 |
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| 0.2995 | 9.9558 | 1125 | 0.7731 | 0.4646 | 0.5321 | 0.4960 | 0.8158 |
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| 0.2731 | 11.9469 | 1350 | 0.8100 | 0.4650 | 0.5395 | 0.4995 | 0.8074 |
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| 0.2259 | 13.9381 | 1575 | 0.8500 | 0.4769 | 0.5502 | 0.5109 | 0.8112 |
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| 0.1916 | 15.9292 | 1800 | 0.8650 | 0.4582 | 0.5502 | 0.5 | 0.8053 |
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### Framework versions
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- Transformers 4.41.2
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base_model: FacebookAI/xlm-roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: my_awesome_ner-token_classification_v1.0
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results: []
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.8037
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- eval_precision: 0.4696
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- eval_recall: 0.5214
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- eval_f1: 0.4941
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- eval_accuracy: 0.7969
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- eval_runtime: 6.2464
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- eval_samples_per_second: 80.046
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- eval_steps_per_second: 5.123
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- epoch: 9.9645
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- step: 2810
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## Model description
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- lr_scheduler_type: cosine
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- num_epochs: 20
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### Framework versions
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- Transformers 4.41.2
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model.safetensors
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