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t5-base-extraction-cnndm_fs0.01-all
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8747
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: 32
- eval_batch_size: 32
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.3573 | 2.25 | 200 | 1.9379 |
1.9645 | 4.49 | 400 | 1.9068 |
1.862 | 6.74 | 600 | 1.8823 |
1.7958 | 8.99 | 800 | 1.8796 |
1.7493 | 11.24 | 1000 | 1.8759 |
1.7053 | 13.48 | 1200 | 1.8747 |
1.6773 | 15.73 | 1400 | 1.8786 |
1.6631 | 17.98 | 1600 | 1.8796 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1