---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_0109
  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_0109

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: 0.4790
- Bleu: 0.457
- Gen Len: 18.9295

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 13.8417       | 1.0   | 975   | 2.6438          | 0.563  | 15.6487 |
| 2.8117        | 2.0   | 1950  | 1.4148          | 0.891  | 17.2223 |
| 1.8883        | 3.0   | 2925  | 1.0693          | 0.401  | 18.7582 |
| 1.5248        | 4.0   | 3900  | 0.8703          | 0.4583 | 18.8508 |
| 1.3116        | 5.0   | 4875  | 0.7483          | 0.4651 | 18.8856 |
| 1.1617        | 6.0   | 5850  | 0.6783          | 0.4542 | 18.9005 |
| 1.0636        | 7.0   | 6825  | 0.6243          | 0.459  | 18.9054 |
| 0.9928        | 8.0   | 7800  | 0.5869          | 0.4707 | 18.9038 |
| 0.9272        | 9.0   | 8775  | 0.5536          | 0.4563 | 18.9031 |
| 0.8926        | 10.0  | 9750  | 0.5282          | 0.4606 | 18.9177 |
| 0.8568        | 11.0  | 10725 | 0.5091          | 0.4577 | 18.9226 |
| 0.8341        | 12.0  | 11700 | 0.4964          | 0.4482 | 18.9259 |
| 0.8176        | 13.0  | 12675 | 0.4867          | 0.4539 | 18.9262 |
| 0.806         | 14.0  | 13650 | 0.4812          | 0.4576 | 18.9264 |
| 0.7945        | 15.0  | 14625 | 0.4790          | 0.457  | 18.9295 |


### Framework versions

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