---
base_model: google-t5/t5-base
library_name: peft
license: apache-2.0
metrics:
- bleu
tags:
- generated_from_trainer
model-index:
- name: elvish-translator-sindarin-t5-base
  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-sindarin-t5-base

This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7904
- Bleu: 1.0092
- Gen Len: 14.775

## 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: 0.002
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 4.5672        | 1.0   | 40   | 4.0168          | 0.5041 | 15.25   |
| 3.898         | 2.0   | 80   | 3.8542          | 0.9997 | 12.35   |
| 3.5914        | 3.0   | 120  | 3.7813          | 1.1689 | 13.875  |
| 3.3466        | 4.0   | 160  | 3.7551          | 0.941  | 14.95   |
| 3.0903        | 5.0   | 200  | 3.7904          | 1.0092 | 14.775  |


### Framework versions

- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1