Phi-3-mini-128k-instruct_fineTuned_7a130e6d-43c5-4b2d-93a5-e4008eee6479
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 2
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.3.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for yashss/Phi-3-mini-128k-instruct_fineTuned_7a130e6d-43c5-4b2d-93a5-e4008eee6479
Base model
microsoft/Phi-3-mini-128k-instruct