| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - financial_phrasebank | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: sentiment_bert | |
| results: | |
| - task: | |
| name: Text Classification | |
| type: text-classification | |
| dataset: | |
| name: financial_phrasebank | |
| type: financial_phrasebank | |
| config: sentences_66agree | |
| split: train | |
| args: sentences_66agree | |
| metrics: | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.9360189573459715 | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # sentiment_bert | |
| This model is a fine-tuned version of [SALT-NLP/FLANG-BERT](https://huggingface.co/SALT-NLP/FLANG-BERT) on the financial_phrasebank dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.3754 | |
| - Accuracy: 0.9360 | |
| ## 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: 6 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.24.0 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.13.2 | |