electra-small-discriminator-text-classification-en-finetuned-amazon_reviews_multi-en

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

• Loss: 0.9435
• Accuracy: 0.5922

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.9639	1.0	12500	0.9660	0.5816
0.9192	2.0	25000	0.9615	0.5858
0.8901	3.0	37500	0.9573	0.5892

Framework versions

• Transformers 4.27.3
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2