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my_tech_model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.6813
- Rouge1: 0.0798
- Rouge2: 0.0056
- Rougel: 0.0617
- Rougelsum: 0.0619
- 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 | 21 | 5.3232 | 0.0773 | 0.0055 | 0.0634 | 0.0637 | 19.0 |
| No log | 2.0 | 42 | 4.9006 | 0.0765 | 0.005 | 0.0611 | 0.0613 | 19.0 |
| No log | 3.0 | 63 | 4.7285 | 0.0775 | 0.0055 | 0.0615 | 0.0617 | 19.0 |
| No log | 4.0 | 84 | 4.6813 | 0.0798 | 0.0056 | 0.0617 | 0.0619 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
