Blog models
Collection
This is a set of models that come from the trainings I do in my personal blog
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6 items
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Updated
GPT2-small-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: 1.5203
- Accuracy: 0.3374
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: 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 |
|---|---|---|---|---|
| 2.3964 | 1.0 | 500 | 1.6029 | 0.2694 |
| 1.5727 | 2.0 | 1000 | 1.5317 | 0.3208 |
| 1.5344 | 3.0 | 1500 | 1.5118 | 0.3358 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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