distilbert-base-uncased-finetuned-emotion

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.2128
• Accuracy: 0.7597
• F1: 0.6574

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: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.3846	1.0	243	1.2627	0.7598	0.6561
1.0463	2.0	486	1.2128	0.7597	0.6574

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.2+cu102
• Datasets 2.0.0
• Tokenizers 0.11.6