test_electra_small

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: 0.6214
• Accuracy: 0.69

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6806	1.0	13	0.6456	0.69
0.6503	2.0	26	0.6261	0.69
0.634	3.0	39	0.6214	0.69

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.1+cpu
• Datasets 2.17.0
• Tokenizers 0.15.2