metadata
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: trainer_wheel_2.0
results: []
trainer_wheel_2.0
This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2068
- Refined F1: 12.9129
- Meteor: 19.9212
- Bert Score F1: 83.2043
- Rouge1: 22.3927
- Rouge2: 8.2360
- Rougel: 18.2793
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 | Refined F1 | Meteor | Bert Score F1 | Rouge1 | Rouge2 | Rougel |
|---|---|---|---|---|---|---|---|---|---|
| 2.4429 | 1.0 | 2797 | 2.2296 | 12.5911 | 19.2809 | 82.8943 | 21.4421 | 7.7851 | 17.6693 |
| 2.3284 | 1.9995 | 5592 | 2.2068 | 12.9129 | 19.9212 | 83.2043 | 22.3927 | 8.2360 | 18.2793 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.1
- Tokenizers 0.21.0