darrowoflykos/qwen3-finetuned
The darrowoflykos/qwen3-finetuned model is a 0.8 billion parameter language model, fine-tuned from Qwen/Qwen3-0.6B. It was trained with a learning rate of 2e-05 over 300 steps, achieving a validation loss of 2.9582. This model is a general-purpose language model, but its specific primary use case and differentiators are not detailed in the available information.
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Overview
The darrowoflykos/qwen3-finetuned model is a fine-tuned variant of the Qwen3-0.6B base model, developed by Qwen. This model has approximately 0.8 billion parameters and was trained for 300 steps, achieving a validation loss of 2.9582.
Training Details
The fine-tuning process utilized the following key hyperparameters:
- Learning Rate: 2e-05
- Optimizer: AdamW_Torch_Fused
- Batch Size: 16 (total, with gradient accumulation)
- Training Steps: 300
Key Characteristics
- Base Model: Qwen/Qwen3-0.6B
- Parameter Count: 0.8B
- Context Length: 32768 tokens
- Validation Loss: 2.9582
Good for
Given the limited information, this model is suitable for general language understanding and generation tasks where a compact model size is beneficial. Further evaluation would be needed to determine specific strengths or specialized applications.