Vivian12300/mmlu_same_f_llama2
The Vivian12300/mmlu_same_f_llama2 is a 7 billion parameter language model, fine-tuned from Meta's Llama-2-7b-chat-hf. This model is specifically adapted from its base architecture for specialized tasks, though its primary differentiators and intended uses require further documentation. It was trained with a focus on specific dataset generation, indicating potential for focused applications rather than broad general-purpose use.
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Overview
This model, mmlu_same_f_llama2, is a fine-tuned variant of the Meta Llama-2-7b-chat-hf architecture. It features 7 billion parameters and was developed by Vivian12300. The fine-tuning process involved a specific "generator dataset," suggesting an optimization for particular data generation or transformation tasks.
Training Details
The model was trained using the following key hyperparameters:
- Learning Rate: 5e-05
- Batch Size: 1 (train), 2 (eval)
- Gradient Accumulation Steps: 16 (resulting in a total effective batch size of 16)
- Optimizer: Adam with standard betas and epsilon
- LR Scheduler: Linear
- Epochs: 30
Key Characteristics
- Base Model: Llama-2-7b-chat-hf
- Parameter Count: 7 billion
- Fine-tuning Focus: Generator dataset, implying specialized output generation.
Limitations
As per the provided documentation, specific intended uses, limitations, and detailed training/evaluation data require further information. Users should exercise caution and conduct thorough testing for any specific application.