metadata
license: apache-2.0
tags:
- summarization
- generated_from_trainer
model-index:
- name: t5-small-bueno-tfg
results: []
t5-small-bueno-tfg
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3428
- Rouge2 Precision: 0.0931
- Rouge2 Recall: 0.0781
- Rouge2 Fmeasure: 0.0848
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 7.2339 | 0.27 | 10 | 4.7620 | 0.0453 | 0.0225 | 0.03 |
| 4.3192 | 0.53 | 20 | 4.0073 | 0.0589 | 0.0336 | 0.0427 |
| 3.9608 | 0.8 | 30 | 3.6537 | 0.0866 | 0.0623 | 0.0722 |
| 3.7992 | 1.07 | 40 | 3.4747 | 0.091 | 0.0708 | 0.0795 |
| 3.7694 | 1.33 | 50 | 3.3968 | 0.0898 | 0.0721 | 0.0799 |
| 3.5839 | 1.6 | 60 | 3.3600 | 0.0992 | 0.0813 | 0.089 |
| 3.5573 | 1.87 | 70 | 3.3428 | 0.0931 | 0.0781 | 0.0848 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2