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result6

Text Classification
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roberta
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metadata
library_name: transformers
base_model: finiteautomata/bertweet-base-sentiment-analysis
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: result6
    results: []

result6

This model is a fine-tuned version of finiteautomata/bertweet-base-sentiment-analysis on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7466
  • Accuracy: 0.6516

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: 1

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.8749 1.0 723 0.7466 0.6516

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.2.2+cu118
  • Datasets 3.0.1
  • Tokenizers 0.20.0