metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-eLife
results: []
flan-t5-base-eLife
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: 2.0883
- Rouge1: 0.3665
- Rouge2: 0.0826
- Rougel: 0.3524
- Bertscore: 0.8322
- Readability: 8.6631
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Bertscore | Readability |
|---|---|---|---|---|---|---|---|---|
| 2.1756 | 1.0 | 544 | 2.1228 | 0.3665 | 0.0834 | 0.3529 | 0.8339 | 8.6929 |
| 2.1907 | 2.0 | 1088 | 2.0947 | 0.3545 | 0.0804 | 0.3418 | 0.8290 | 8.5141 |
| 2.1566 | 3.0 | 1632 | 2.0883 | 0.3665 | 0.0826 | 0.3524 | 0.8322 | 8.6631 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.2.1
- Datasets 2.19.0
- Tokenizers 0.15.2