• Model creator: https://huggingface.co/mlfoundations-dev/
• Original model: https://huggingface.co/mlfoundations-dev/alpaca-inst-gen-4o-resp-gen-gpt4o-mini_shareGPT_format/

Original model description:

• llama-factory
• full
• generated_from_trainer model-index:
• name: alpaca-inst-gen-4o-resp-gen-gpt4o-mini_shareGPT_format results: []

alpaca-inst-gen-4o-resp-gen-gpt4o-mini_shareGPT_format

• Loss: 1.1614

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

• learning_rate: 5e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 512
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.1
• lr_scheduler_warmup_steps: 1738
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.45.2
• Pytorch 2.4.1+cu121
• Datasets 2.21.0
• Tokenizers 0.20.1