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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: Qwen/Qwen3-Coder-30B-A3B-Instruct |
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tags: |
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- base_model:adapter:Qwen/Qwen3-Coder-30B-A3B-Instruct |
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- lora |
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- transformers |
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pipeline_tag: text-generation |
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model-index: |
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- name: peft-FT-3-Coder-30b-v3 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/joshuareedenterprises-university-of-houston/qwen3coder-finetune-fp16/runs/fmhmghb5) |
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# peft-FT-3-Coder-30b-v3 |
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This model is a fine-tuned version of [Qwen/Qwen3-Coder-30B-A3B-Instruct](https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9121 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.2459 | 1.0 | 17 | 0.9617 | |
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| 1.0765 | 2.0 | 34 | 0.9121 | |
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| 0.9091 | 3.0 | 51 | 0.9169 | |
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| 0.7589 | 4.0 | 68 | 0.9652 | |
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### Framework versions |
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- PEFT 0.17.1 |
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- Transformers 4.57.1 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
