barsaranikhuntia/qwen3-finetuned
The barsaranikhuntia/qwen3-finetuned model is a 0.8 billion parameter causal language model, fine-tuned from the Qwen/Qwen3-0.6B architecture. This model has a context length of 32768 tokens. It was fine-tuned on an unspecified dataset, achieving a validation loss of 3.2855. Its specific primary use case or differentiators are not detailed in the provided information.
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Model Overview
The barsaranikhuntia/qwen3-finetuned model is a fine-tuned variant of the Qwen3-0.6B architecture, developed by Qwen. This model has approximately 0.8 billion parameters and supports a substantial context length of 32768 tokens. It was trained for 1 epoch with a learning rate of 2e-05 and a total batch size of 256.
Training Details
- Base Model: Qwen/Qwen3-0.6B
- Learning Rate: 2e-05
- Optimizer: AdamW Torch Fused
- Epochs: 1
- Validation Loss: 3.2855
Limitations
The specific dataset used for fine-tuning is not disclosed, and detailed information regarding its intended uses, limitations, and training data is currently unavailable. Users should be aware that without further details, the model's optimal applications and potential biases are not clearly defined.