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t5-base-daily-dialog-finetuned
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1654
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: 5e-07
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
15.2456 | 0.09 | 500 | 13.0409 |
9.7122 | 0.18 | 1000 | 6.6723 |
5.6227 | 0.28 | 1500 | 3.0800 |
3.1431 | 0.37 | 2000 | 1.3667 |
2.3708 | 0.46 | 2500 | 1.1771 |
2.2547 | 0.55 | 3000 | 1.1695 |
2.2491 | 0.64 | 3500 | 1.1669 |
2.2544 | 0.73 | 4000 | 1.1654 |
2.2479 | 0.83 | 4500 | 1.1654 |
2.2246 | 0.92 | 5000 | 1.1654 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3