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This model is a fine-tuned version of microsoft/Phi-3-medium-128k-instruct on the None 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: 5e-08
- train_batch_size: 5
- eval_batch_size: 500
- seed: 42
- gradient_accumulation_steps: 100
- total_train_batch_size: 500
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu124
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for KEITA21/Phi-3-medium-128k-instruct
Base model
microsoft/Phi-3-medium-128k-instruct