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t5-samsung-5e
This model is a fine-tuned version of t5-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.7108
- Rouge1: 43.1484
- Rouge2: 20.4563
- Rougel: 36.6379
- Rougelsum: 40.196
- Gen Len: 16.7677
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.873 | 1.0 | 1841 | 1.7460 | 41.7428 | 19.2191 | 35.2428 | 38.8578 | 16.7286 |
| 1.8627 | 2.0 | 3682 | 1.7268 | 42.4494 | 19.8301 | 36.1459 | 39.5271 | 16.6039 |
| 1.8293 | 3.0 | 5523 | 1.7223 | 42.8908 | 19.9782 | 36.1848 | 39.8482 | 16.7164 |
| 1.8163 | 4.0 | 7364 | 1.7101 | 43.2291 | 20.3177 | 36.6418 | 40.2878 | 16.8472 |
| 1.8174 | 5.0 | 9205 | 1.7108 | 43.1484 | 20.4563 | 36.6379 | 40.196 | 16.7677 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
