CharlesLi/llama_2_sky_safe_o1_4o_default_1000_100_full
The CharlesLi/llama_2_sky_safe_o1_4o_default_1000_100_full model is a 7 billion parameter Llama-2-7b-chat-hf variant, fine-tuned by CharlesLi. This model is specifically adapted from the base Llama-2-7b-chat-hf architecture, focusing on performance within its fine-tuning domain. It is intended for applications requiring a specialized Llama-2-7b-chat-hf derivative, demonstrating a training loss of 0.7803 on its evaluation set. Developers should consider this model for tasks aligned with its fine-tuning objective, leveraging its Llama 2 foundation.
Loading preview...
Model Overview
This model, llama_2_sky_safe_o1_4o_default_1000_100_full, is a fine-tuned version of the meta-llama/Llama-2-7b-chat-hf base model. Developed by CharlesLi, it leverages the robust Llama 2 architecture, which is a 7 billion parameter language model.
Key Characteristics
- Base Model: Fine-tuned from
meta-llama/Llama-2-7b-chat-hf. - Training Objective: Optimized on a specific generator dataset.
- Performance: Achieved a loss of 0.7803 on its evaluation set, indicating its specialized training effectiveness.
- Training Configuration: Utilized a learning rate of 2e-05, a total batch size of 32, and trained for 1 epoch with a cosine learning rate scheduler.
Intended Use Cases
This model is suitable for applications that align with the specific fine-tuning performed on the meta-llama/Llama-2-7b-chat-hf base. Developers looking for a Llama 2 variant with tailored performance on generator tasks, as indicated by its training loss, may find this model appropriate. Further details on specific intended uses and limitations would require more information from the model developer.