metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: legal_mt5_small_finetuned
results: []
legal_mt5_small_finetuned
This model is a fine-tuned version of 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