metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum
results: []
flan-t5-base-samsum
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: nan
- Rouge1: 46.2704
- Rouge2: 22.2776
- Rougel: 38.7157
- Rougelsum: 42.2861
- Gen Len: 16.7729
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: 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 | 1842 | nan | 46.2704 | 22.2776 | 38.7157 | 42.2861 | 16.7729 |
| 0.0 | 2.0 | 3684 | nan | 46.2704 | 22.2776 | 38.7157 | 42.2861 | 16.7729 |
| 0.0 | 3.0 | 5526 | nan | 46.2704 | 22.2776 | 38.7157 | 42.2861 | 16.7729 |
| 0.0 | 4.0 | 7368 | nan | 46.2704 | 22.2776 | 38.7157 | 42.2861 | 16.7729 |
| 0.0 | 5.0 | 9210 | nan | 46.2704 | 22.2776 | 38.7157 | 42.2861 | 16.7729 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2