README.md

metadata

language:
  - en
license: mit
tags:
  - generated_from_trainer
datasets:
  - glue
metrics:
  - matthews_correlation
model-index:
  - name: deberta-v3-small
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: GLUE COLA
          type: glue
          args: cola
        metrics:
          - name: Matthews Correlation
            type: matthews_correlation
            value: 0.6333205721749096

deberta-v3-small

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

• Loss: 0.4051
• Matthews Correlation: 0.6333

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: 3e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
No log	1.0	535	0.4051	0.6333
0.3371	2.0	1070	0.4455	0.6531
0.3371	3.0	1605	0.5755	0.6499
0.1305	4.0	2140	0.7188	0.6553
0.1305	5.0	2675	0.8047	0.6700

Framework versions

• Transformers 4.13.0.dev0
• Pytorch 1.10.0+cu111
• Datasets 1.16.1
• Tokenizers 0.10.3