emotion_xlnet

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

• Loss: 0.2021
• Accuracy: 0.9155

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	250	0.3639	0.8715
0.5892	2.0	500	0.2404	0.911
0.5892	3.0	750	0.2102	0.9175

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2