metadata
license: apache-2.0
base_model: t5-3b
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_billsum_model
results: []
my_awesome_billsum_model
This model is a fine-tuned version of t5-3b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.1384
- Rouge2: 0.0535
- Rougel: 0.1143
- Rougelsum: 0.1144
- Gen Len: 19.0
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 248 | nan | 0.1384 | 0.0535 | 0.1143 | 0.1144 | 19.0 |
| No log | 2.0 | 496 | nan | 0.1384 | 0.0535 | 0.1143 | 0.1144 | 19.0 |
| 0.0 | 3.0 | 744 | nan | 0.1384 | 0.0535 | 0.1143 | 0.1144 | 19.0 |
| 0.0 | 4.0 | 992 | nan | 0.1384 | 0.0535 | 0.1143 | 0.1144 | 19.0 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1