RonTon05/multi_task_model_content

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multitaskmodel_content

This model is a fine-tuned version of RonTon05/model_content_V2_test on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.7753
• —Accuracy: 0.4753
• —F1: 0.5099

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: 0.0001
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —PEFT 0.16.0
• —Transformers 4.57.1
• —Pytorch 2.6.0+cu124
• —Datasets 4.4.1
• —Tokenizers 0.22.1