reviewAnalyzerWeights
This model is a fine-tuned version of unsloth/phi-3-medium-4k-instruct-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: 8
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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_steps: 5
- training_steps: 60
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.46.2
- Pytorch 2.2.0+cu121
- Datasets 2.19.1
- Tokenizers 0.20.3
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