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distilbert-base-uncased-finetuned-imdb1

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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - imdb
model-index:
  - name: distilbert-base-uncased-finetuned-imdb1
    results: []

distilbert-base-uncased-finetuned-imdb1

This model is a fine-tuned version of distilbert-base-uncased on the imdb dataset. It achieves the following results on the evaluation set:

  • Loss: 2.3022

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: 3.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
2.2428 1.0 313 2.3085
2.2695 2.0 626 2.2621
2.3277 3.0 939 2.3022

Framework versions

  • Transformers 4.22.1
  • Pytorch 1.10.0
  • Datasets 2.5.1
  • Tokenizers 0.12.1