Draft_Collab_Omer-2025-07-20_14.02.02
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct 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: 8e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.PAGED_ADAMW 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: 0.03
- num_epochs: 5
Framework versions
- PEFT 0.14.0
- Transformers 4.53.2
- Pytorch 2.9.0.dev20250715+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
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Model tree for compile2011/Draft_Collab_Omer-2025-07-20_14.02.02
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct