--- base_model: nlptown/bert-base-multilingual-uncased-sentiment library_name: peft license: mit tags: - generated_from_trainer model-index: - name: bert_peft_trainer results: [] --- # bert_peft_trainer This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on YELP dataset. It achieves the following results on the evaluation set: - epoch: 1.2308 - eval_accuracy: 0.6092 - eval_loss: 0.9067 - eval_runtime: 730.7208 - eval_samples_per_second: 68.426 - eval_steps_per_second: 4.277 - step: 50000 ## Model description More information needed ## 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: 0.001 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Framework versions - PEFT 0.12.0 - Transformers 4.42.4 - Pytorch 2.3.1+cu118 - Datasets 2.20.0 - Tokenizers 0.19.1