AmberYifan/capsd-marin-8b-base-code_kcenter_b14000_s0
AmberYifan/capsd-marin-8b-base-code_kcenter_b14000_s0 is an 8 billion parameter language model fine-tuned from marin-community/marin-8b-base. This model is specifically fine-tuned on a code-centric dataset, suggesting an optimization for code generation and understanding tasks. With an 8192-token context length, it is designed for processing substantial code inputs and outputs.
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Model Overview
This model, AmberYifan/capsd-marin-8b-base-code_kcenter_b14000_s0, is an 8 billion parameter language model. It is a fine-tuned variant of the marin-community/marin-8b-base architecture, specifically adapted for code-related tasks.
Key Characteristics
- Base Model: Fine-tuned from
marin-community/marin-8b-base. - Parameter Count: 8 billion parameters.
- Context Length: Supports an 8192-token context window.
- Fine-tuning Dataset: Trained on the
capsd_marin-8b-base-n80000-opc__mix_code_kcenter_b14000_s0dataset, indicating a specialization in code-related data.
Training Details
The model underwent a single epoch of training with a learning rate of 1e-05. It utilized a total training batch size of 64 across 4 multi-GPU devices, employing an AdamW optimizer and a cosine learning rate scheduler with 0.03 warmup steps.
Potential Use Cases
Given its fine-tuning on a code-centric dataset, this model is likely suitable for applications requiring:
- Code generation
- Code completion
- Code summarization
- Understanding and processing programming language constructs