metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/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 google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5023
- Rouge1: 0.1491
- Rouge2: 0.0544
- Rougel: 0.124
- Rougelsum: 0.1241
- Gen Len: 20.0
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 OptimizerNames.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 | 62 | 2.7997 | 0.1309 | 0.0361 | 0.1087 | 0.1091 | 20.0 |
| No log | 2.0 | 124 | 2.5860 | 0.1443 | 0.0502 | 0.1192 | 0.1195 | 20.0 |
| No log | 3.0 | 186 | 2.5203 | 0.1466 | 0.0535 | 0.1221 | 0.1221 | 20.0 |
| No log | 4.0 | 248 | 2.5023 | 0.1491 | 0.0544 | 0.124 | 0.1241 | 20.0 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1