---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214

This model is a fine-tuned version of [Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210](https://huggingface.co/Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0046
- Bleu: 17.7500

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 2.4438        | 1.0   | 33611  | 2.0445          | 16.6555 |
| 2.3878        | 2.0   | 67222  | 2.0143          | 17.3884 |
| 2.3861        | 3.0   | 100833 | 2.0046          | 17.7500 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2