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

# tl-ceb-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: 0.5272
- Bleu: 2.9334
- Gen Len: 18.2954

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.9668        | 1.0   | 6516  | 0.8034          | 2.2949 | 18.3327 |
| 0.8082        | 2.0   | 13032 | 0.6691          | 2.6324 | 18.3182 |
| 0.7297        | 3.0   | 19548 | 0.5954          | 2.7526 | 18.2929 |
| 0.6745        | 4.0   | 26064 | 0.5474          | 2.886  | 18.308  |
| 0.6319        | 5.0   | 32580 | 0.5272          | 2.9334 | 18.2954 |


### Framework versions

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