--- license: apache-2.0 base_model: HooshvareLab/bert-fa-base-uncased tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: Bert-Sentiment-Fa results: [] --- # Bert-Sentiment-Fa This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co/HooshvareLab/bert-fa-base-uncased) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4804 - Accuracy: 0.8667 - F1: 0.8055 ## 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: 3e-06 - train_batch_size: 16 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| | No log | 1.0 | 143 | 0.6056 | 0.7765 | 0.6647 | | No log | 2.0 | 286 | 0.4282 | 0.8549 | 0.7825 | | No log | 3.0 | 429 | 0.4119 | 0.8588 | 0.7949 | | 0.5089 | 4.0 | 572 | 0.4091 | 0.8667 | 0.8102 | | 0.5089 | 5.0 | 715 | 0.4226 | 0.8627 | 0.7988 | | 0.5089 | 6.0 | 858 | 0.4333 | 0.8627 | 0.8031 | | 0.203 | 7.0 | 1001 | 0.4500 | 0.8627 | 0.7972 | | 0.203 | 8.0 | 1144 | 0.4540 | 0.8667 | 0.8073 | | 0.203 | 9.0 | 1287 | 0.4765 | 0.8667 | 0.8055 | | 0.203 | 10.0 | 1430 | 0.4804 | 0.8667 | 0.8055 | ### Framework versions - Transformers 4.33.0 - Pytorch 2.0.0 - Datasets 2.1.0 - Tokenizers 0.13.3