qwen3_8b_base_poker_36k_sft
This model is a fine-tuned version of unsloth/Qwen3-8B-Base-unsloth-bnb-4bit on an unknown dataset.
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 4
- seed: 3407
- gradient_accumulation_steps: 128
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 5
- num_epochs: 1
Framework versions
- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
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Model tree for JoshuaKelleyDs/qwen3-8b-base-unstructured-sft-poker-30k
Base model
Qwen/Qwen3-8B-Base
Quantized
unsloth/Qwen3-8B-Base-unsloth-bnb-4bit