ferrazzipietro/tlocvsdyspneaTask-unsup-Qwen3-8B-datav3

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tlocvsdyspneaTask-unsup-Qwen3-8B-datav3

This model is a fine-tuned version of ferrazzipietro/unsup-Qwen3-8B-datav3 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.2780
• —F1 Micro: 0.7023
• —F1 Macro: 0.3545
• —F1 Weighted: 0.7670

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: 0.0003
• —trainbatchsize: 8
• —evalbatchsize: 16
• —seed: 42
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 64
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-07 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3

Training results

Framework versions

• —PEFT 0.18.1
• —Transformers 4.51.0
• —Pytorch 2.8.0+cu128
• —Datasets 3.6.0
• —Tokenizers 0.21.0