Blog models
Collection
This is a set of models that come from the trainings I do in my personal blog
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12 items
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Updated
GPT2-small-PEFT-LoRA-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: 1.4127
- Accuracy: 0.3862
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: 400
- eval_batch_size: 400
- 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 |
|---|---|---|---|---|
| 2.2751 | 1.0 | 500 | 1.5125 | 0.3182 |
| 1.5159 | 2.0 | 1000 | 1.4176 | 0.3738 |
| 1.4635 | 3.0 | 1500 | 1.4051 | 0.3814 |
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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Inference API (serverless) does not yet support peft models for this pipeline type.
Model tree for Maximofn/GPT2-small-PEFT-LoRA-finetuned-amazon-reviews-en-classification
Base model
openai-community/gpt2