deberta-v3-base-Wnut-TokenClassification

This model is a fine-tuned version of microsoft/deberta-v3-base on the wnut_17 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3286

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: 8
• eval_batch_size: 8
• 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
0.2701	1.0	425	0.4030
0.1983	2.0	850	0.3375
0.2137	3.0	1275	0.3286

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.1+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0