win10_-_Phi-3.5-mini-instruct-24-9-29-4bits

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Phi-3.5-mini-instruct-24-9-29 - bnb 4bits

• Model creator: https://huggingface.co/win10/
• Original model: https://huggingface.co/win10/Phi-3.5-mini-instruct-24-9-29/

Original model description:

library_name: transformers license: other base_model: microsoft/Phi-3.5-mini-instruct tags:

• llama-factory
• freeze
• generated_from_trainer model-index:
• name: microsoft/Phi-3.5-mini-instruct results: []

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Phi-3.5-mini-instruct-24-9-29

This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on the lmsys_chat dataset. It achieves the following results on the evaluation set:

• Loss: 1.3194

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: 0.0001
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: reduce_lr_on_plateau
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.45.0
• Pytorch 2.4.0+cu124
• Datasets 2.19.1
• Tokenizers 0.20.0