metadata
license: other
tags:
- generated_from_trainer
model-index:
- name: opt-2-7b
results: []
opt-2-7b
This model is a fine-tuned version of facebook/opt-2.7b 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0+cu117
- Tokenizers 0.12.1