YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

Quantization made by Richard Erkhov.

Github

Discord

Request more models

facebook-opt-350m-imdb - AWQ

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
Downloads last month
2
Safetensors
Model size
69.6M params
Tensor type
I32
·
FP16
·
Inference API
Unable to determine this model's library. Check the docs .