metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: tidy-tab-model-t5-small
results: []
tidy-tab-model-t5-small
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: 0.9664
- Rouge1: 0.7291
- Rouge2: 0.6063
- Rougel: 0.7259
- Rougelsum: 0.7278
- Gen Len: 6.9658
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: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.9199 | 3.7879 | 500 | 0.9804 | 0.735 | 0.61 | 0.7309 | 0.7326 | 7.0299 |
| 0.8632 | 7.5758 | 1000 | 0.9696 | 0.7269 | 0.6049 | 0.7237 | 0.7253 | 6.9786 |
| 0.8398 | 11.3636 | 1500 | 0.9664 | 0.7291 | 0.6063 | 0.7259 | 0.7278 | 6.9658 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1