--- license: mit base_model: roberta-base tags: - generated_from_trainer model-index: - name: sentiment_analysis results: [] --- # sentiment_analysis This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.8114 - F1 Score: 0.7322 ## 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: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - 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 | F1 Score | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.7577 | 1.0 | 1000 | 0.7996 | 0.6603 | | 0.7168 | 2.0 | 2000 | 0.7362 | 0.6627 | | 0.7201 | 3.0 | 3000 | 0.7231 | 0.6675 | | 0.6752 | 4.0 | 4000 | 0.7051 | 0.6970 | | 0.6374 | 5.0 | 5000 | 0.7167 | 0.7007 | | 0.6288 | 6.0 | 6000 | 0.7278 | 0.7193 | | 0.5579 | 7.0 | 7000 | 0.8242 | 0.7190 | | 0.5485 | 8.0 | 8000 | 0.7587 | 0.7291 | | 0.5309 | 9.0 | 9000 | 0.7876 | 0.7269 | | 0.4767 | 10.0 | 10000 | 0.8114 | 0.7322 | ### Framework versions - Transformers 4.33.1 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3