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bert-finetuned-sentiment

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metadata
license: apache-2.0
base_model: lyrisha/bert-finetuned-imdb-sentiment
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert-finetuned-sentiment
    results: []

bert-finetuned-sentiment

This model is a fine-tuned version of lyrisha/bert-finetuned-imdb-sentiment on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3409
  • Accuracy: 0.9174

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.168 1.0 2105 0.2524 0.9197
0.107 2.0 4210 0.3079 0.9140
0.0693 3.0 6315 0.3409 0.9174

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1