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t5-v1_1-small-finetuned-cnn_dailymail_2
This model is a fine-tuned version of google/t5-v1_1-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6169
- Rouge1: 19.7138
- Rouge2: 6.3879
- Rougel: 16.3121
- Rougelsum: 17.9656
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 4.1168 | 1.0 | 1250 | 2.7284 | 19.8853 | 6.514 | 16.467 | 18.3882 |
| 3.4117 | 2.0 | 2500 | 2.6718 | 19.9194 | 6.4482 | 16.3444 | 18.3119 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.9.1+cu111
- Datasets 2.11.0
- Tokenizers 0.13.3
