---
base_model: drewcurran/translation_model
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: spanglish
  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. -->

# spanglish

This model is a fine-tuned version of [drewcurran/translation_model](https://huggingface.co./drewcurran/translation_model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5595
- Bleu: 5.861
- Gen Len: 17.8

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 10   | 1.8794          | 1.372  | 18.4    |
| No log        | 2.0   | 20   | 1.7643          | 1.8888 | 18.125  |
| No log        | 3.0   | 30   | 1.6884          | 2.1152 | 18.125  |
| No log        | 4.0   | 40   | 1.6408          | 2.0966 | 17.925  |
| No log        | 5.0   | 50   | 1.6089          | 2.286  | 17.925  |
| No log        | 6.0   | 60   | 1.5881          | 2.3929 | 17.95   |
| No log        | 7.0   | 70   | 1.5756          | 2.4497 | 17.95   |
| No log        | 8.0   | 80   | 1.5669          | 4.2201 | 18.025  |
| No log        | 9.0   | 90   | 1.5613          | 5.861  | 17.8    |
| No log        | 10.0  | 100  | 1.5595          | 5.861  | 17.8    |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1