lemonhat/Qwen3-8B-APIGen_5k_arguments_fixed_hermes_corrected

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APIGen5kargumentsfixedhermes_corrected

This model is a fine-tuned version of Qwen/Qwen3-8B on the APIGen5kargumentsfixedhermes_corrected dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2957

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: 5e-06
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 8
• —totalevalbatch_size: 4
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —num_epochs: 12

Training results

Framework versions

• —Transformers 4.51.0
• —Pytorch 2.6.0+cu124
• —Datasets 3.6.0
• —Tokenizers 0.21.1