07MAY2025-Meta-Llama-3-8B-MEDAL-flash-attention-2-cosine-evaldata-epochs1
CODE: https://github.com/frank-morales2020/MLxDL/blob/main/HF_AGENT_LLAMA3_HFModel.ipynb
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.15
- num_epochs: 1
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Downloads last month
- 7
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
🙋
Ask for provider support
Model tree for frankmorales2020/07MAY2025-Meta-Llama-3-8B-MEDAL-flash-attention-2-cosine-evaldata-epochs1
Base model
meta-llama/Meta-Llama-3-8B