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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - precision
  - recall
model-index:
  - name: finetuned_twitter_targeted_insult_LSTM
    results: []

finetuned_twitter_targeted_insult_LSTM

This model is a fine-tuned version of LYTinn/lstm-finetuning-sentiment-model-3000-samples on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6314
  • Accuracy: 0.6394
  • F1: 0.6610
  • Precision: 0.6262
  • Recall: 0.6998

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: 5

Training results

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.12.1+cu113
  • Datasets 2.7.0
  • Tokenizers 0.13.2