Blog models
Collection
This is a set of models that come from the trainings I do in my personal blog • 11 items • Updated
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
- train_batch_size: 224
- eval_batch_size: 224
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.088 | 1.0 | 893 | 0.9780 | 0.5848 |
| 0.9588 | 2.0 | 1786 | 0.8940 | 0.6156 |
| 0.9147 | 3.0 | 2679 | 0.8918 | 0.6168 |
Framework versions
- PEFT 0.12.0
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Maximofn/GPT2-small-QLoRA-finetuned-amazon-reviews-en-classification
Base model
openai-community/gpt2