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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: microsoft-deberta-v3-large_cls_sst2
    results: []

microsoft-deberta-v3-large_cls_sst2

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

  • Loss: 0.2206
  • Accuracy: 0.9576

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: cosine
  • lr_scheduler_warmup_ratio: 0.2
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 433 0.2420 0.9415
0.3716 2.0 866 0.2387 0.9404
0.2001 3.0 1299 0.2379 0.9461
0.1187 4.0 1732 0.2007 0.9610
0.0555 5.0 2165 0.2206 0.9576

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cu116
  • Datasets 2.7.1
  • Tokenizers 0.13.2