model_dir

This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0380
• Pearson: 0.9399

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: 8e-05
• train_batch_size: 128
• eval_batch_size: 256
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Pearson
No log	1.0	12	0.2773	0.7230
No log	2.0	24	0.1120	0.7812
No log	3.0	36	0.1090	0.8638
No log	4.0	48	0.0613	0.9163
No log	5.0	60	0.0447	0.9409
No log	6.0	72	0.0356	0.9402
No log	7.0	84	0.0368	0.9359
No log	8.0	96	0.0408	0.9295
No log	9.0	108	0.0397	0.9382
No log	10.0	120	0.0380	0.9399

Framework versions

• Transformers 4.24.0
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.2