t5-feedback-generator-final
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6256
- Rouge1: 50.0197
- Rouge2: 30.1532
- Rougel: 40.2203
- Rougelsum: 40.264
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 67.9207 | 1.0 | 124 | 6.5946 | 12.6715 | 1.6869 | 12.0942 | 12.099 |
| 49.8169 | 2.0 | 248 | 4.2355 | 34.7204 | 18.3256 | 29.7743 | 29.7213 |
| 32.6294 | 3.0 | 372 | 2.6306 | 49.7105 | 30.1067 | 40.0865 | 40.0267 |
| 21.9054 | 4.0 | 496 | 1.8128 | 49.641 | 30.7987 | 39.9795 | 39.9149 |
| 17.0548 | 5.0 | 620 | 1.5818 | 49.9443 | 30.6155 | 39.8862 | 39.8062 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Downloads last month
- 53
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for nguyennghia0902/t5-feedback-generator-final
Base model
google/flan-t5-base