distilbert-base-uncased-finetuned-emotion2

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

• Loss: 0.3623
• Accuracy: 0.903
• F1: 0.9003

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: 128
• eval_batch_size: 128
• 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	125	0.5960	0.8025	0.7750
0.7853	2.0	250	0.3623	0.903	0.9003

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.1+cu102
• Datasets 1.18.3
• Tokenizers 0.10.3