metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-finetuned-xsum
results: []
flan-t5-small-finetuned-xsum
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 1.2294
- Rouge2: 0.0439
- Rougel: 1.149
- Rougelsum: 1.1538
- Gen Len: 14.526
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 625 | nan | 1.2294 | 0.0439 | 1.149 | 1.1538 | 14.526 |
| 0.0 | 2.0 | 1250 | nan | 1.2294 | 0.0439 | 1.149 | 1.1538 | 14.526 |
| 0.0 | 3.0 | 1875 | nan | 1.2294 | 0.0439 | 1.149 | 1.1538 | 14.526 |
| 0.0 | 4.0 | 2500 | nan | 1.2294 | 0.0439 | 1.149 | 1.1538 | 14.526 |
| 0.0 | 5.0 | 3125 | nan | 1.2294 | 0.0439 | 1.149 | 1.1538 | 14.526 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.1