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
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: 2.5545
- Rouge1: 0.1382
- Rouge2: 0.0507
- Rougel: 0.1149
- Rougelsum: 0.1153
- 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 | 2.8397 | 0.1265 | 0.0378 | 0.1068 | 0.107 | 19.0 |
| No log | 2.0 | 124 | 2.6342 | 0.1352 | 0.0505 | 0.1133 | 0.1135 | 19.0 |
| No log | 3.0 | 186 | 2.5715 | 0.1368 | 0.0494 | 0.1135 | 0.1139 | 19.0 |
| No log | 4.0 | 248 | 2.5545 | 0.1382 | 0.0507 | 0.1149 | 0.1153 | 19.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1