t5-base-finetuned-samsum-v2
This model is a fine-tuned version of t5-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4881
- Rouge1: 44.5129
- Rouge2: 20.9037
- Rougel: 37.3032
- Rougelsum: 41.2293
- Gen Len: 16.7482
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.6551 | 1.0 | 1841 | 1.4881 | 44.5129 | 20.9037 | 37.3032 | 41.2293 | 16.7482 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2