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
Downloads last month
0
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for yashss/Phi-3-mini-128k-instruct_fineTuned_7a130e6d-43c5-4b2d-93a5-e4008eee6479

Adapter
(161)
this model