• Model creator: https://huggingface.co/mlfoundations-dev/
• Original model: https://huggingface.co/mlfoundations-dev/hp_ablations_mistral_scheduler_cosine_warmup0.15_dcftv1.2/

Original model description:

• llama-factory
• full
• generated_from_trainer model-index:
• name: hp_ablations_mistral_scheduler_cosine_warmup0.15_dcftv1.2 results: []

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hp_ablations_mistral_scheduler_cosine_warmup0.15_dcftv1.2

• Loss: 0.0727

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.15
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.46.1
• Pytorch 2.3.0
• Datasets 3.0.2
• Tokenizers 0.20.3