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-5
results: []
my_awesome_billsum_model-5
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: 2.4956
- Rouge1: 0.1565
- Rouge2: 0.0604
- Rougel: 0.1273
- Rougelsum: 0.1271
- 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 124 | 2.6450 | 0.1409 | 0.0507 | 0.1157 | 0.1156 | 19.0 |
| No log | 2.0 | 248 | 2.5223 | 0.1514 | 0.0595 | 0.1225 | 0.1224 | 19.0 |
| No log | 3.0 | 372 | 2.4956 | 0.1565 | 0.0604 | 0.1273 | 0.1271 | 19.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1