tidy-tab-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: 3.5060
- Rouge1: 0.3341
- Rouge2: 0.1528
- Rougel: 0.3104
- Rougelsum: 0.3125
- Gen Len: 17.75
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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 7 | 4.4385 | 0.1922 | 0.0928 | 0.1885 | 0.1862 | 17.9167 |
| No log | 2.0 | 14 | 4.1803 | 0.2265 | 0.1136 | 0.2229 | 0.2214 | 17.75 |
| No log | 3.0 | 21 | 3.9826 | 0.2505 | 0.0972 | 0.2495 | 0.2517 | 17.1667 |
| No log | 4.0 | 28 | 3.8140 | 0.3166 | 0.131 | 0.3117 | 0.3168 | 17.5 |
| No log | 5.0 | 35 | 3.6817 | 0.3442 | 0.1594 | 0.3194 | 0.3211 | 17.4167 |
| No log | 6.0 | 42 | 3.5924 | 0.3341 | 0.1528 | 0.3104 | 0.3125 | 17.75 |
| No log | 7.0 | 49 | 3.5356 | 0.3341 | 0.1528 | 0.3104 | 0.3125 | 17.75 |
| No log | 8.0 | 56 | 3.5060 | 0.3341 | 0.1528 | 0.3104 | 0.3125 | 17.75 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1