---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: elvish-translator-quenya-t5-small
  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. -->

# elvish-translator-quenya-t5-small

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1552
- Bleu: 0.0813
- Gen Len: 16.4792

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 4.9485        | 1.0   | 144  | 4.4460          | 0.0    | 16.875  |
| 4.515         | 2.0   | 288  | 4.2735          | 0.0    | 16.625  |
| 4.3579        | 3.0   | 432  | 4.1977          | 0.0    | 16.7014 |
| 4.3095        | 4.0   | 576  | 4.1644          | 0.0818 | 16.5417 |
| 4.2744        | 5.0   | 720  | 4.1552          | 0.0813 | 16.4792 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.2.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1