---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: legal_mt5_small_finetuned
  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. -->

# legal_mt5_small_finetuned

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: 0.2780

## 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.226         | 1.1039 | 500  | 2.0588          |
| 1.4832        | 2.2077 | 1000 | 0.7003          |
| 0.787         | 3.3116 | 1500 | 0.4511          |
| 0.6142        | 4.4155 | 2000 | 0.3904          |
| 0.4991        | 5.5193 | 2500 | 0.3456          |
| 0.4446        | 6.6232 | 3000 | 0.3153          |
| 0.4441        | 7.7271 | 3500 | 0.2896          |
| 0.3978        | 8.8309 | 4000 | 0.2823          |
| 0.3954        | 9.9348 | 4500 | 0.2780          |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0