DREAM-t5-small
This model is a fine-tuned version of t5-small on th DREAM dataset. It achieves the following results on the evaluation set:
- Loss: 1.6873
Model description
The model's expected input is of the form
"[SITUATION] Best friend cheated on his girlfriend with me…. [QUERY] rot"
to which the model replies
"It's wrong to cheat on your partner."
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.8513 | 1.0 | 2447 | 1.7593 |
1.7482 | 2.0 | 4894 | 1.7202 |
1.6892 | 3.0 | 7341 | 1.7004 |
1.6415 | 4.0 | 9788 | 1.6944 |
1.6103 | 5.0 | 12235 | 1.6886 |
1.5856 | 6.0 | 14682 | 1.6873 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for RicoBorra/DREAM-t5-small
Base model
google-t5/t5-small