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t5-base-extraction-cnndm_fs0.1-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: 1.7159
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: 64
- eval_batch_size: 64
- 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 |
---|---|---|---|
2.2503 | 0.45 | 200 | 1.8495 |
1.9367 | 0.9 | 400 | 1.7930 |
1.8669 | 1.35 | 600 | 1.7704 |
1.8371 | 1.81 | 800 | 1.7481 |
1.8051 | 2.26 | 1000 | 1.7362 |
1.7843 | 2.71 | 1200 | 1.7345 |
1.7669 | 3.16 | 1400 | 1.7159 |
1.8786 | 3.61 | 1600 | 1.9442 |
2.0554 | 4.06 | 1800 | 1.9691 |
2.0521 | 4.51 | 2000 | 1.9731 |
2.0579 | 4.97 | 2200 | 1.9744 |
2.0514 | 5.42 | 2400 | 1.9743 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1