metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-base
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-neutralization
results: []
t5-neutralization
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0412
- Bleu: 54.4394
- Gen Len: 18.6354
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 | 0.0572 | 54.1682 | 18.6458 |
| 0.1408 | 2.0 | 880 | 0.0412 | 54.4394 | 18.6354 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.10.0+cpu
- Datasets 4.0.0
- Tokenizers 0.21.4