Quantization made by Richard Erkhov.
tmp_trainer - AWQ
- Model creator: https://huggingface.co/Winmodel/
- Original model: https://huggingface.co/Winmodel/tmp_trainer/
Original model description:
license: other base_model: facebook/opt-350m tags: - generated_from_trainer datasets: - imdb model-index: - name: tmp_trainer results: []
tmp_trainer
This model is a fine-tuned version of facebook/opt-350m on the imdb dataset.
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0