Edit model card

Phi-3-mini-128k-instruct_fineTuned_0fda7831-52c9-4c2c-abf4-77f9373758e7

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
2
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for yashss/Phi-3-mini-128k-instruct_fineTuned_0fda7831-52c9-4c2c-abf4-77f9373758e7

Adapter
(121)
this model