metadata
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results
results: []
results
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5920
- Rouge1: 14.7596
- Rouge2: 4.3807
- Rougel: 12.2006
- Rougelsum: 12.2
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.5565 | 0.8163 | 1000 | 2.5957 | 14.9406 | 4.4429 | 12.4353 | 12.433 |
| 2.1876 | 1.6327 | 2000 | 2.5816 | 14.8245 | 4.3741 | 12.2496 | 12.2465 |
| 1.9943 | 2.4490 | 3000 | 2.5886 | 14.8735 | 4.3477 | 12.2451 | 12.2445 |
| 1.8837 | 3.2653 | 4000 | 2.5920 | 14.7596 | 4.3807 | 12.2006 | 12.2 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 2.16.0
- Tokenizers 0.20.0