Foam GPT 9 models: Base Qwen3-Coder-30B-A3B-Instruct
Collection
9 items • Updated
error_analysis_results
This model is a fine-tuned version of Qwen/Qwen3-Coder-30B-A3B-Instruct on the train dataset. It achieves the following results on the evaluation set:
- Loss: 0.7476
- Accuracy: 0.7973
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0004
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.085
- num_epochs: 4.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7592 | 1.7857 | 25 | 0.7807 | 0.7846 |
| 0.5326 | 3.5714 | 50 | 0.7476 | 0.7973 |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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Model tree for finalform/error_analysis_Qwen3-Coder-30B-A3B-Instruct
Base model
Qwen/Qwen3-Coder-30B-A3B-Instruct