metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bw58_billsum_model
results: []
bw58_billsum_model
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: 0.0776
- Rouge2: 0.0197
- Rougel: 0.0639
- Rougelsum: 0.0638
- Gen Len: 12.879
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 989 | nan | 0.0776 | 0.0197 | 0.0639 | 0.0638 | 12.879 |
| 0.0 | 2.0 | 1978 | nan | 0.0776 | 0.0197 | 0.0639 | 0.0638 | 12.879 |
| 0.0 | 3.0 | 2967 | nan | 0.0776 | 0.0197 | 0.0639 | 0.0638 | 12.879 |
| 0.0 | 4.0 | 3956 | nan | 0.0776 | 0.0197 | 0.0639 | 0.0638 | 12.879 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2