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--- |
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license: mit |
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base_model: romainlhardy/roberta-large-finetuned-ner |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: roberta-large-finetuned-ner-finetuned-ner |
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results: [] |
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datasets: |
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- surrey-nlp/PLOD-filtered |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# roberta-large-finetuned-ner-finetuned-ner |
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This model is a fine-tuned version of [romainlhardy/roberta-large-finetuned-ner](https://huggingface.co./romainlhardy/roberta-large-finetuned-ner) on surrey-nlp/PLOD-filtered dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.1264 |
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- eval_precision: 0.9593 |
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- eval_recall: 0.9473 |
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- eval_f1: 0.9533 |
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- eval_accuracy: 0.9488 |
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- eval_runtime: 588.3236 |
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- eval_samples_per_second: 41.032 |
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- eval_steps_per_second: 10.258 |
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- epoch: 0.59 |
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- step: 16493 |
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## label description |
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['B-O', 'B-AC', 'I-AC', 'B-LF', 'I-LF'] |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 2 |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
