---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-es
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: medical_pubmed_8_19
  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. -->

# medical_pubmed_8_19

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-es](https://huggingface.co/Helsinki-NLP/opus-mt-en-es) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4625
- Bleu: 58.7452
- Gen Len: 119.0251

## 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: 8e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|
| 0.8785        | 3.25  | 1000 | 0.8319          | 47.8321 | 118.9146 |
| 0.6571        | 6.5   | 2000 | 0.7008          | 50.9386 | 118.9497 |
| 0.5257        | 9.76  | 3000 | 0.5956          | 53.6824 | 118.9724 |
| 0.4406        | 13.01 | 4000 | 0.5257          | 56.3775 | 119.0075 |
| 0.3834        | 16.26 | 5000 | 0.4808          | 57.9502 | 119.0302 |
| 0.3541        | 19.51 | 6000 | 0.4625          | 58.7452 | 119.0251 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3