README.md

metadata

license: mit
base_model: microsoft/Phi-3-mini-4k-instruct
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: checkpoint_dir
    results: []

checkpoint_dir

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 1.5493

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: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• total_train_batch_size: 16
• total_eval_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 1

Training results

Framework versions

• Transformers 4.41.0.dev0
• Pytorch 2.2.0
• Datasets 2.19.0
• Tokenizers 0.19.1