my_sport_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: 4.4430
- Rouge1: 0.0574
- Rouge2: 0.0047
- Rougel: 0.0476
- Rougelsum: 0.0475
- 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 | 26 | 5.1010 | 0.0562 | 0.0032 | 0.0452 | 0.0452 | 19.0 |
| No log | 2.0 | 52 | 4.6487 | 0.0581 | 0.0048 | 0.0455 | 0.0456 | 19.0 |
| No log | 3.0 | 78 | 4.4856 | 0.057 | 0.0042 | 0.0472 | 0.0471 | 19.0 |
| No log | 4.0 | 104 | 4.4430 | 0.0574 | 0.0047 | 0.0476 | 0.0475 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3