Quantization made by Richard Erkhov.
sft_openassistant-guanaco - AWQ
- Model creator: https://huggingface.co/skandermoalla/
- Original model: https://huggingface.co/skandermoalla/sft_openassistant-guanaco/
Original model description:
library_name: transformers license: other base_model: facebook/opt-350m tags: - trl - sft - generated_from_trainer model-index: - name: sft_openassistant-guanaco results: []
sft_openassistant-guanaco
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: 1.41e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 2048
- total_eval_batch_size: 64
- 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 4.44.2
- Pytorch 2.4.0a0+3bcc3cddb5.nv24.07
- Datasets 2.21.0
- Tokenizers 0.19.1