AmberYifan/capsd-marin-8b-base-code_cap_b10000_s0
AmberYifan/capsd-marin-8b-base-code_cap_b10000_s0 is an 8 billion parameter language model, fine-tuned from marin-community/marin-8b-base. This model was specifically trained on the capsd_marin-8b-base-n80000-opc__mix_code_cap_b10000_s0 dataset, suggesting a specialization in code-related tasks. It leverages a context length of 8192 tokens, making it suitable for processing moderately long code sequences.
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Model Overview
AmberYifan/capsd-marin-8b-base-code_cap_b10000_s0 is an 8 billion parameter language model, derived from the marin-community/marin-8b-base architecture. It has been fine-tuned on a specialized dataset, capsd_marin-8b-base-n80000-opc__mix_code_cap_b10000_s0, indicating a focus on code-related applications. The model was trained for 1 epoch with a learning rate of 1e-05 and a total training batch size of 64 across 4 GPUs.
Key Training Details
- Base Model:
marin-community/marin-8b-base - Fine-tuning Dataset:
capsd_marin-8b-base-n80000-opc__mix_code_cap_b10000_s0 - Learning Rate: 1e-05
- Optimizer: AdamW with betas=(0.9, 0.999)
- Epochs: 1
- Context Length: 8192 tokens
Intended Use Cases
Given its fine-tuning on a code-centric dataset, this model is likely optimized for tasks such as:
- Code generation
- Code completion
- Code summarization
- Debugging assistance
Users should be aware that specific performance metrics and detailed limitations are not provided in the current model card, suggesting further evaluation may be needed for critical applications.