google_electra-base-discriminator

This model is a fine-tuned version of google/electra-base-discriminator on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.0171
• Accuracy: 0.5934

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1622	1.0	283	1.0167	0.6058
0.8989	2.0	566	0.9049	0.6563
0.7318	3.0	849	0.9367	0.6429

Framework versions

• Transformers 4.49.0
• Pytorch 2.6.0+cu118
• Datasets 3.4.0
• Tokenizers 0.21.1