Quantization made by Richard Erkhov.
facebook-opt-350m-imdb - AWQ
- Model creator: https://huggingface.co/asoria/
- Original model: https://huggingface.co/asoria/facebook-opt-350m-imdb/
Original model description:
library_name: transformers license: other base_model: facebook/opt-350m tags: - trl - sft - generated_from_trainer model-index: - name: outputs results: []
outputs
This model is a fine-tuned version of facebook/opt-350m on an unknown 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1