mifeng09/llama_lora_20k_alpaca_sencond_tiny_learingRate

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llamalora20kalpacasencondtinylearingRate

This model is a fine-tuned version of mifeng09/my_final_llama_model_v2_add_wiki_fix_resume on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 3.8042

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: 8e-05
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —lrschedulerwarmup_steps: 67
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.18.0
• —Transformers 4.57.3
• —Pytorch 2.9.0+cpu
• —Datasets 4.0.0
• —Tokenizers 0.22.1