| --- |
| base_model: yiyanghkust/finbert-pretrain |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: temp |
| 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. --> |
|
|
| # temp |
|
|
| This model is a fine-tuned version of [yiyanghkust/finbert-pretrain](https://huggingface.co/yiyanghkust/finbert-pretrain) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8959 |
| - Accuracy: 0.7025 |
|
|
| ## 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: 2e-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 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.1172 | 1.0 | 753 | 1.0053 | 0.5396 | |
| | 0.8259 | 2.0 | 1506 | 0.8250 | 0.6472 | |
| | 0.6817 | 3.0 | 2259 | 0.8871 | 0.6487 | |
| | 0.5578 | 4.0 | 3012 | 0.8300 | 0.6891 | |
| | 0.4379 | 5.0 | 3765 | 0.8959 | 0.7025 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.36.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
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|
