deberta-v3-large__sst2__train-8-8

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

• Loss: 0.7414
• Accuracy: 0.5623

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6597	1.0	3	0.7716	0.25
0.6376	2.0	6	0.7802	0.25
0.5857	3.0	9	0.6625	0.75
0.4024	4.0	12	0.5195	0.75
0.2635	5.0	15	0.4222	1.0
0.1714	6.0	18	0.4410	0.5
0.1267	7.0	21	0.7773	0.75
0.0582	8.0	24	0.9070	0.75
0.0374	9.0	27	0.9539	0.75
0.0204	10.0	30	1.0507	0.75
0.012	11.0	33	1.2802	0.5
0.0086	12.0	36	1.4272	0.5
0.0049	13.0	39	1.4803	0.5
0.0039	14.0	42	1.4912	0.5
0.0031	15.0	45	1.5231	0.5

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.2+cu102
• Datasets 1.18.2
• Tokenizers 0.10.3