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--- |
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license: apache-2.0 |
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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: BERT_ep7_lr3 |
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results: [] |
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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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# BERT_ep7_lr3 |
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This model is a fine-tuned version of [ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT](https://huggingface.co/ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1056 |
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- Precision: 0.7587 |
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- Recall: 0.8152 |
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- F1: 0.7859 |
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- Accuracy: 0.9660 |
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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: 5e-07 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| No log | 1.0 | 467 | 0.1336 | 0.7056 | 0.7382 | 0.7215 | 0.9572 | |
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| 0.1804 | 2.0 | 934 | 0.1171 | 0.7285 | 0.7769 | 0.7519 | 0.9617 | |
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| 0.1226 | 3.0 | 1401 | 0.1116 | 0.7354 | 0.7995 | 0.7661 | 0.9637 | |
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| 0.1118 | 4.0 | 1868 | 0.1084 | 0.7478 | 0.8044 | 0.7750 | 0.9648 | |
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| 0.103 | 5.0 | 2335 | 0.1066 | 0.7564 | 0.8120 | 0.7832 | 0.9656 | |
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| 0.1003 | 6.0 | 2802 | 0.1061 | 0.7566 | 0.8144 | 0.7844 | 0.9658 | |
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| 0.1035 | 7.0 | 3269 | 0.1056 | 0.7587 | 0.8152 | 0.7859 | 0.9660 | |
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### Framework versions |
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- Transformers 4.27.3 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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