metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
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-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2553
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 | 133 | 0.2607 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 2.0 | 266 | 0.2557 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| No log | 3.0 | 399 | 0.2565 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| 0.2826 | 4.0 | 532 | 0.2553 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.0
- Datasets 3.0.2
- Tokenizers 0.20.1