---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_2311_retrain_v19_iwt
  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. -->

# md_mt5_2311_retrain_v19_iwt

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6818
- Bleu: 1.1458
- Gen Len: 18.8547

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 14.6802       | 1.0   | 635  | 5.8279          | 0.001  | 11.8701 |
| 6.5233        | 2.0   | 1270 | 2.4491          | 1.4911 | 15.5764 |
| 3.4983        | 3.0   | 1905 | 1.6292          | 2.1885 | 17.7457 |
| 2.1412        | 4.0   | 2540 | 1.3098          | 2.7626 | 18.6941 |
| 1.8999        | 5.0   | 3175 | 1.1263          | 1.0375 | 18.4476 |
| 1.7456        | 6.0   | 3810 | 0.9967          | 1.172  | 18.7098 |
| 1.6077        | 7.0   | 4445 | 0.8971          | 1.2144 | 18.7425 |
| 1.4144        | 8.0   | 5080 | 0.8289          | 1.1994 | 18.7866 |
| 1.342         | 9.0   | 5715 | 0.7807          | 1.1842 | 18.8138 |
| 1.3029        | 10.0  | 6350 | 0.7468          | 1.17   | 18.8524 |
| 1.2426        | 11.0  | 6985 | 0.7213          | 1.1513 | 18.8488 |
| 1.1793        | 12.0  | 7620 | 0.7024          | 1.1573 | 18.8516 |
| 1.1649        | 13.0  | 8255 | 0.6909          | 1.1472 | 18.8524 |
| 1.1419        | 14.0  | 8890 | 0.6837          | 1.1483 | 18.8535 |
| 1.1289        | 15.0  | 9525 | 0.6818          | 1.1458 | 18.8547 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0