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

# ceb-tl-model

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: 0.6649
- Bleu: 3.6178
- Gen Len: 18.154

## 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: 0.001
- 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 1.0551        | 1.0   | 6516  | 0.9019          | 2.8382 | 18.183  |
| 0.879         | 2.0   | 13032 | 0.7772          | 3.1412 | 18.182  |
| 0.7844        | 3.0   | 19548 | 0.7146          | 3.4508 | 18.18   |
| 0.728         | 4.0   | 26064 | 0.6773          | 3.5651 | 18.17   |
| 0.6838        | 5.0   | 32580 | 0.6649          | 3.6178 | 18.154  |


### Framework versions

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