metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-base
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-neutralization
results: []
mt5-neutralization
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2109
- Bleu: 78.9475
- Gen Len: 18.0104
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 440 | 0.2987 | 77.3901 | 17.3125 |
| 2.3454 | 2.0 | 880 | 0.2109 | 78.9475 | 18.0104 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.0
- Tokenizers 0.21.0