google_electra-small-discriminator

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google_electra-small-discriminator

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

• Loss: 0.5391
• Accuracy: 0.8906
• F1 Macro: 0.4073
• Precision Destination: 0.9266
• Recall Destination: 0.9597
• Precision Origin: 0.6034
• Recall Origin: 0.7955
• Precision Other: 0.0
• Recall Other: 0.0
• Precision Transit: 0.0
• Recall Transit: 0.0
• Super Metric: 1.7552
• Raw Super Metric: 1.7552

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: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 3.5.0
• Tokenizers 0.21.1