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: 2.4993
- Rouge1: 0.1454
- Rouge2: 0.0539
- Rougel: 0.1208
- Rougelsum: 0.1207
- 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 | 2.7906 | 0.1302 | 0.0366 | 0.1081 | 0.1082 | 19.0 |
| No log | 2.0 | 124 | 2.5767 | 0.1353 | 0.0448 | 0.1127 | 0.1125 | 19.0 |
| No log | 3.0 | 186 | 2.5172 | 0.1424 | 0.0514 | 0.118 | 0.1179 | 19.0 |
| No log | 4.0 | 248 | 2.4993 | 0.1454 | 0.0539 | 0.1208 | 0.1207 | 19.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2