---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_base_boun_split_first_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# md_mt5_base_boun_split_first_v2

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: 0.4874
- Bleu: 0.5931
- Gen Len: 18.7836

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 14.1813       | 1.0   | 975   | 2.7812          | 1.1085 | 18.9862 |
| 2.9943        | 2.0   | 1950  | 1.4463          | 1.4366 | 18.7331 |
| 1.9645        | 3.0   | 2925  | 1.0962          | 0.5916 | 18.7738 |
| 1.5852        | 4.0   | 3900  | 0.8990          | 0.5837 | 18.6944 |
| 1.3504        | 5.0   | 4875  | 0.7589          | 0.5952 | 18.7164 |
| 1.1926        | 6.0   | 5850  | 0.6843          | 0.6057 | 18.7367 |
| 1.0963        | 7.0   | 6825  | 0.6291          | 0.5969 | 18.7197 |
| 1.0192        | 8.0   | 7800  | 0.5902          | 0.6007 | 18.7428 |
| 0.9537        | 9.0   | 8775  | 0.5614          | 0.5879 | 18.7492 |
| 0.9127        | 10.0  | 9750  | 0.5366          | 0.5871 | 18.7667 |
| 0.8705        | 11.0  | 10725 | 0.5166          | 0.5841 | 18.7718 |
| 0.8472        | 12.0  | 11700 | 0.5041          | 0.5869 | 18.7777 |
| 0.8312        | 13.0  | 12675 | 0.4963          | 0.5917 | 18.7821 |
| 0.8243        | 14.0  | 13650 | 0.4890          | 0.5944 | 18.7838 |
| 0.8099        | 15.0  | 14625 | 0.4874          | 0.5931 | 18.7836 |


### Framework versions

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