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: 0.5310
• Accuracy: 0.826
• F1: 0.7993

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: 192
• eval_batch_size: 192
• 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
No log	1.0	84	0.7549	0.758	0.7023
No log	2.0	168	0.5310	0.826	0.7993

Framework versions

• Transformers 4.11.3
• Pytorch 2.0.0a0+1767026
• Datasets 2.21.0
• Tokenizers 0.10.3