electra-emotion

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

• Loss: 0.1403
• Accuracy: 0.944

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: 32
• eval_batch_size: 32
• 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
0.6777	1.0	500	0.2635	0.9155
0.186	2.0	1000	0.1598	0.935
0.113	3.0	1500	0.1403	0.944

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0