deberta-v3-small-essay-grading-classification

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8790
• Qwk: 0.7595

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: 32
• eval_batch_size: 32
• 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	Qwk
No log	1.0	433	0.9495	0.7132
1.0266	2.0	866	0.8787	0.7561
1.0266	3.0	1299	0.8790	0.7595

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2