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metadata
license: mit
library_name: peft
tags:
  - generated_from_trainer
base_model: microsoft/phi-1_5
model-index:
  - name: remote_sensing_gpt_expt4
    results: []

remote_sensing_gpt_expt4

This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3855

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
3.4913 1.0 916 3.4388
3.2788 2.0 1832 3.3951
3.218 3.0 2748 3.3855

Framework versions

  • PEFT 0.9.0
  • Transformers 4.36.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0