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llama32-v2
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-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: 0.00015
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- num_epochs: 3
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 2.20.0
- Tokenizers 0.20.0
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Model tree for Mohammadreza/llama32-v2
Base model
meta-llama/Llama-3.2-3B-Instruct