a3ilab-llm-uncertainty/llama3_1_8B_all_zhtw_lr1e-5_ep1_16_32_128_turn_tokenize

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llama318Ballzhtwlr1e-5ep11632128turn

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the multiturnmissfunczhtwfunctionmix500turnllama3.1pretokenized, the multiturnmissparazhtwfunctionmix500turnllama3.1pretokenized, the multiturnzhtwfunctionmix500turnllama3.1pretokenized, the irrelevancezhtw3000llama3.1pretokenized and the apigenzhtwV3removesysllama3.1_pretokenized datasets. It achieves the following results on the evaluation set:

• —Loss: 0.3873

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: 1e-05
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 128
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 15
• —num_epochs: 1

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 4.57.6
• —Pytorch 2.8.0+cu128
• —Datasets 4.0.0
• —Tokenizers 0.22.2