metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_awesome_billsum_model_10
results: []
my_awesome_billsum_model_10
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2479
- Rouge1: 0.4356
- Rouge2: 0.3223
- Rougel: 0.4176
- Rougelsum: 0.4181
- Gen Len: 16.0417
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 | 12 | 2.0694 | 0.4045 | 0.2872 | 0.3849 | 0.3843 | 17.6042 |
| No log | 2.0 | 24 | 1.6633 | 0.4119 | 0.2976 | 0.3919 | 0.3914 | 17.4792 |
| No log | 3.0 | 36 | 1.3738 | 0.4404 | 0.3235 | 0.4195 | 0.4193 | 16.2917 |
| No log | 4.0 | 48 | 1.2479 | 0.4356 | 0.3223 | 0.4176 | 0.4181 | 16.0417 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1