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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

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
• —trainbatchsize: 28
• —evalbatchsize: 40
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

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