Quantization made by Richard Erkhov.
VarunOPTTest3-finetuned-slangQA - AWQ
- Model creator: https://huggingface.co/vrvenkatesh/
- Original model: https://huggingface.co/vrvenkatesh/VarunOPTTest3-finetuned-slangQA/
Original model description:
license: other base_model: facebook/opt-350m tags: - generated_from_trainer model-index: - name: VarunOPTTest3-finetuned-slangQA results: []
VarunOPTTest3-finetuned-slangQA
This model is a fine-tuned version of facebook/opt-350m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9666
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: 1e-05
- 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
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0946 | 1.0 | 846 | 1.9666 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0