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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_ep6_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_ep6_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: 0.1098 |
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- Precision: 0.7406 |
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- Recall: 0.8132 |
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- F1: 0.7752 |
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- Accuracy: 0.9638 |
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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: 6 |
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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 | 0.1408 | 0.6915 | 0.7505 | 0.7198 | 0.9556 | |
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| 0.1799 | 2.0 | 934 | 0.1215 | 0.7135 | 0.7790 | 0.7448 | 0.9602 | |
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| 0.1233 | 3.0 | 1401 | 0.1151 | 0.7248 | 0.8002 | 0.7606 | 0.9618 | |
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| 0.1131 | 4.0 | 1868 | 0.1120 | 0.7362 | 0.8099 | 0.7713 | 0.9631 | |
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| 0.1038 | 5.0 | 2335 | 0.1103 | 0.7399 | 0.8118 | 0.7742 | 0.9637 | |
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| 0.1025 | 6.0 | 2802 | 0.1098 | 0.7406 | 0.8132 | 0.7752 | 0.9638 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.2 |
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