---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_model_en_to_ur
  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. -->

# my_model_en_to_ur

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2587
- Bleu: 0.0
- Gen Len: 18.2573

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
| 0.3014        | 1.0   | 1250 | 0.2716          | 0.0  | 18.4279 |
| 0.2854        | 2.0   | 2500 | 0.2639          | 0.0  | 18.3976 |
| 0.2772        | 3.0   | 3750 | 0.2610          | 0.0  | 18.1718 |
| 0.2752        | 4.0   | 5000 | 0.2591          | 0.0  | 18.255  |
| 0.2766        | 5.0   | 6250 | 0.2587          | 0.0  | 18.2573 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0