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DREAM-t5-small
RicoBorra/DREAM-t5-small
DREAM-t5-small is a machine learning model from RicoBorra. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Dec 4, 2023
- Updated
- Dec 18, 2023
- SHA
- 8652d996
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 4, 2023
- Updated
- Dec 18, 2023