electra-small-discriminator-finetuned-combined

This model is a fine-tuned version of google/electra-small-discriminator on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9867

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.4549	1.0	3729	1.0343
1.2366	2.0	7458	0.9665
1.0805	3.0	11187	0.9867

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.0
• Datasets 3.1.0
• Tokenizers 0.20.3