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End of training
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metadata
license: apache-2.0
base_model: bert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: movie-genre-predictions
    results: []

movie-genre-predictions

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.5590
  • Accuracy: 0.4587

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.6649 1.0 1159 1.5851 0.4465
1.5221 2.0 2318 1.5577 0.4566
1.4229 3.0 3477 1.5590 0.4587

Framework versions

  • Transformers 4.33.1
  • Pytorch 1.13.1
  • Datasets 2.14.5
  • Tokenizers 0.13.3