Instructions to use igoramf/lora-pt-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igoramf/lora-pt-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="igoramf/lora-pt-sentiment-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("igoramf/lora-pt-sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Verified signatureI trained this model just to learn, using a dataset of product reviews ## HYPERPAREMETERS lr = 1e-3 batch_size = 4 num_epochs = 5 weight_decay = 0.01 LoraConfig: r=4 lora_alpha=32 lora_dropout=0.01 target_modules = ['q_lin'] ## F1_SCORE = 0.9146433d1835a -
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Verified signatureF1-score: 0.906715 accuracy: 0.8905783328808037 #hyperparameters lr = 1e-4 batch_size = 4 num_epochs = 5 weight_decay = 0.01 LoraConfig( task_type="SEQ_CLS", ##sequence classification, r=4, ##intrinsic rank of trainable weight matrix lora_alpha=32, ##this is like learning rate lora_dropout=0.01, ## probality of dropout target_modules = ['q_lin'] ##we apply lora to query layer )e598c92 -
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