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metadata
license: mit
base_model: microsoft/deberta-v3-base
tags:
  - generated_from_trainer
model-index:
  - name: sentiment-analysis-whatsapp2
    results: []

sentiment-analysis-whatsapp2

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

  • eval_loss: 0.1871
  • eval_accuracy: {'accuracy': 0.9445}
  • eval_f1_macro: 0.9442
  • eval_runtime: 4.3692
  • eval_samples_per_second: 457.751
  • eval_steps_per_second: 7.324
  • epoch: 2.0
  • step: 500

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: 5e-05
  • train_batch_size: 64
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2