Eimhin03/outout_model_29Jan26_TestingGeneralisation

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outoutmodel29Jan26_TestingGeneralisation

This model is a fine-tuned version of Eimhin03/outout_model on an unknown dataset.

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: 1
• —evalbatchsize: 1
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 200
• —training_steps: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.0.1.dev0
• —Pytorch 2.9.0+cu126
• —Datasets 4.0.0
• —Tokenizers 0.22.2