test_classifier

This model is a fine-tuned version of j-hartmann/emotion-english-distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8668
• Accuracy: 0.7337

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: 16
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7506	1.0	587	0.8760	0.7145
0.6506	2.0	1174	0.8192	0.7303
0.5242	3.0	1761	0.8668	0.7337

Framework versions

• Transformers 4.22.2
• Pytorch 1.12.1+cu102
• Datasets 2.5.2
• Tokenizers 0.12.1