| <<<<<<< HEAD |
| --- |
| tags: |
| - generated_from_trainer |
| datasets: |
| - financial_phrasebank |
| model-index: |
| - name: test_trainer_1 |
| results: [] |
| --- |
| |
| <!-- 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. --> |
| |
| # test_trainer_1 |
| |
| This model is a fine-tuned version of [SALT-NLP/FLANG-Roberta](https://huggingface.co/SALT-NLP/FLANG-Roberta) on the financial_phrasebank dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.5963 |
| - eval_accuracy: 0.9242 |
| - eval_runtime: 4.3354 |
| - eval_samples_per_second: 97.337 |
| - eval_steps_per_second: 12.225 |
| - step: 0 |
| |
| ## 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: 5 |
| |
| ### Framework versions |
| |
| - Transformers 4.24.0 |
| - Pytorch 1.12.1+cu113 |
| - Datasets 2.7.0 |
| - Tokenizers 0.13.2 |
| ======= |
| This is a demo model for our reference |
| >>>>>>> 24191373ff05e3799b9c6f359e51b37b642f4865 |
| |
