---
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- iva_mt_wslot
model-index:
- name: tiny-t5-en-pl
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tiny-t5-en-pl

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the iva_mt_wslot dataset.

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu |
|:-------------:|:------:|:----:|:---------------:|:----:|
| No log        | 0.7692 | 10   | 1.6194          | 0.0  |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.2.2
- Datasets 3.1.0
- Tokenizers 0.20.3