---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
datasets:
- vitext2sql
metrics:
- bleu
model-index:
- name: TrainedModels
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: vitext2sql
      type: vitext2sql
      config: vitext2sql_source
      split: test
      args: vitext2sql_source
    metrics:
    - name: Bleu
      type: bleu
      value: 5.1741
---

<!-- 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. -->

# TrainedModels

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co./google/mt5-small) on the vitext2sql dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7564
- Bleu: 5.1741
- Gen Len: 18.1829

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.9517        | 1.0   | 6831  | 0.8409          | 3.1104 | 16.164  |
| 0.7029        | 2.0   | 13662 | 0.7696          | 4.9487 | 18.153  |
| 0.6078        | 3.0   | 20493 | 0.7564          | 5.1741 | 18.1829 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1