metadata
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: 2.5440
- Rouge1: 0.1415
- Rouge2: 0.0479
- Rougel: 0.1163
- Rougelsum: 0.1166
- 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 | 2.8342 | 0.1253 | 0.0329 | 0.1044 | 0.1045 | 19.0 |
| No log | 2.0 | 124 | 2.6247 | 0.1354 | 0.0424 | 0.1117 | 0.1119 | 19.0 |
| No log | 3.0 | 186 | 2.5622 | 0.1414 | 0.0497 | 0.1169 | 0.1172 | 19.0 |
| No log | 4.0 | 248 | 2.5440 | 0.1415 | 0.0479 | 0.1163 | 0.1166 | 19.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2