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--- |
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license: apache-2.0 |
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tags: |
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- Finance-sentiment-analysis |
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- generated_from_trainer |
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metrics: |
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- f1 |
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model-index: |
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- name: bert-base-finance-sentiment-noisy-search |
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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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# bert-base-finance-sentiment-noisy-search |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co./bert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7975 |
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- F1: 0.8670 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.4806 | 1.0 | 1022 | 0.5154 | 0.8336 | |
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| 0.3147 | 2.0 | 2044 | 0.4915 | 0.8577 | |
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| 0.194 | 3.0 | 3066 | 0.6181 | 0.8668 | |
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| 0.0959 | 4.0 | 4088 | 0.6914 | 0.8680 | |
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| 0.057 | 5.0 | 5110 | 0.7975 | 0.8670 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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