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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: stock_sentiment_hp |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# stock_sentiment_hp |
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This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3513 |
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- Accuracy: 0.7899 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1.1207606211860571e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 2 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| No log | 1.0 | 325 | 0.3687 | 0.7652 | |
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| 0.3705 | 2.0 | 650 | 0.3336 | 0.7809 | |
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| 0.3705 | 3.0 | 975 | 0.3449 | 0.7926 | |
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| 0.2435 | 4.0 | 1300 | 0.3513 | 0.7899 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.0 |
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- Tokenizers 0.13.2 |
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