a3ilab-llm-uncertainty/llama3_1_8B_bfcl_lr8e6_ep3_new_cl

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llama318Bbfcllr8e6ep3new_cl

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the sampled20newfix2fix2toollistremovesysAnyscalenotail_dropped dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7046

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-06
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 4
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.17.0
• —Transformers 4.55.2
• —Pytorch 2.4.1+cu121
• —Datasets 4.0.0
• —Tokenizers 0.21.4