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GPT2-small-finetuned-amazon-reviews-en-classification

This model is a fine-tuned version of openai-community/gpt2 on mteb/amazon_reviews_multi dataset.

It is the result of the post Fine tunning SML

It achieves the following results on the evaluation set:

  • Loss: 0.7974
  • Accuracy: 0.6626

Model description

This model provides classification of reviews in english

Intended uses & limitations

Classifiction of reviews in english

Training and evaluation data

It is training on mteb/amazon_reviews_multi dataset

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 28
  • eval_batch_size: 40
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.8074 1.0 7143 0.8203 0.652
0.7519 2.0 14286 0.8022 0.6546
0.7181 3.0 21429 0.8102 0.6578

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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