metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- sacrebleu
- rouge
model-index:
- name: results
results: []
results
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6732
- Sacrebleu: 67.4689
- Rouge1: 0.8572
- Rouge2: 0.7151
- Rougel: 0.8458
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: 32
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Rouge1 | Rouge2 | Rougel |
|---|---|---|---|---|---|---|---|
| 0.7358 | 1.0 | 15250 | 0.6963 | 67.0067 | 0.8550 | 0.7105 | 0.8436 |
| 0.7441 | 2.0 | 30500 | 0.6810 | 67.2301 | 0.8560 | 0.7127 | 0.8446 |
| 0.7191 | 3.0 | 45750 | 0.6766 | 67.3703 | 0.8566 | 0.7139 | 0.8452 |
| 0.7033 | 4.0 | 61000 | 0.6755 | 67.4235 | 0.8570 | 0.7148 | 0.8457 |
| 0.7165 | 5.0 | 76250 | 0.6732 | 67.4689 | 0.8572 | 0.7151 | 0.8458 |
Framework versions
- Transformers 4.56.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0