metadata
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: 2.3846
- Rouge1: 0.1805
- Rouge2: 0.083
- Rougel: 0.1518
- Rougelsum: 0.1517
- 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: 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 | 62 | 2.4714 | 0.1405 | 0.0487 | 0.1158 | 0.1158 | 19.0 |
| No log | 2.0 | 124 | 2.4188 | 0.1606 | 0.0637 | 0.133 | 0.1329 | 19.0 |
| No log | 3.0 | 186 | 2.3921 | 0.176 | 0.0786 | 0.1483 | 0.148 | 19.0 |
| No log | 4.0 | 248 | 2.3846 | 0.1805 | 0.083 | 0.1518 | 0.1517 | 19.0 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1