Blog models
Collection
This is a set of models that come from the trainings I do in my personal blog
•
12 items
•
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
- Downloads last month
- 14
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Maximofn/GPT2-small-LoRA-finetuned-amazon-reviews-en-classification
Base model
openai-community/gpt2