This model is a fine-tuned version of mrm8488/deberta-v3-small-finetuned-sst2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6941
Matthews Correlation: 0.1319

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.6105	1.0	535	0.6169	0.0
0.6054	2.0	1070	0.6131	0.0315
0.5652	3.0	1605	0.6219	0.0802
0.5163	4.0	2140	0.6941	0.1319
0.4718	5.0	2675	0.7269	0.1110

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

rdp99/deberta-v3-small-finetuned-sst2-finetuned-cola

deberta-v3-small-finetuned-sst2-finetuned-cola

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rdp99/
deberta-v3-small-finetuned-sst2-finetuned-cola