Maximofn/GPT2-small-QLoRA-finetuned-amazon-reviews-en-classification

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GPT2-small-QLoRA-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 QLoRA

It achieves the following results on the evaluation set:

• —Loss: 0.8883
• —Accuracy: 0.615

Model description

This model provides classification of reviews in english

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
• —trainbatchsize: 224
• —evalbatchsize: 224
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.12.0
• —Transformers 4.43.3
• —Pytorch 2.3.1+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1