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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: BERT_ep6_lr3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# BERT_ep6_lr3
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.
It achieves the following results on the evaluation set:
- Loss: 0.1098
- Precision: 0.7406
- Recall: 0.8132
- F1: 0.7752
- Accuracy: 0.9638
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log | 1.0 | 467 | 0.1408 | 0.6915 | 0.7505 | 0.7198 | 0.9556 |
| 0.1799 | 2.0 | 934 | 0.1215 | 0.7135 | 0.7790 | 0.7448 | 0.9602 |
| 0.1233 | 3.0 | 1401 | 0.1151 | 0.7248 | 0.8002 | 0.7606 | 0.9618 |
| 0.1131 | 4.0 | 1868 | 0.1120 | 0.7362 | 0.8099 | 0.7713 | 0.9631 |
| 0.1038 | 5.0 | 2335 | 0.1103 | 0.7399 | 0.8118 | 0.7742 | 0.9637 |
| 0.1025 | 6.0 | 2802 | 0.1098 | 0.7406 | 0.8132 | 0.7752 | 0.9638 |
### Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
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