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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: deberta-v3-base-fine-Disaster-Tweets-Part3
    results: []

deberta-v3-base-fine-Disaster-Tweets-Part3

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

  • Loss: 0.4454
  • Accuracy: 0.8205
  • F1: 0.8197

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: 16
  • eval_batch_size: 32
  • 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: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
No log 1.0 405 0.4977 0.7986 0.7921
0.5794 2.0 810 0.4454 0.8205 0.8197

Framework versions

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