ferrazzipietro/Qwen3-1.7B_AllDataSourcesClinical_it_all_tasks

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Qwen3-1.7BAllDataSourcesClinicalitalltasks

This model is a fine-tuned version of Pretrain-FBK-NLP/Qwen3-1.7B_AllDataSourcesClinical_0.0002_cosine_1024_paper_10epochs_it on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3748

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: 64
• —evalbatchsize: 32
• —seed: 42
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 128
• —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: 10

Training results

Framework versions

• —PEFT 0.14.0
• —Transformers 4.51.0
• —Pytorch 2.8.0+cu128
• —Datasets 3.6.0
• —Tokenizers 0.21.0