oferweintraub
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update model card README.md
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README.md
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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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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.
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- F1: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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### Framework versions
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- generated_from_trainer
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metrics:
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- f1
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- accuracy
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- precision
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- recall
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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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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: 0.7819
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- F1: 0.8708
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- Accuracy: 0.8707
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- Precision: 0.8713
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- Recall: 0.8707
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
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| 0.476 | 1.0 | 1022 | 0.4611 | 0.8268 | 0.8283 | 0.8289 | 0.8283 |
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| 0.3193 | 2.0 | 2044 | 0.4427 | 0.8565 | 0.8565 | 0.8565 | 0.8565 |
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| 0.1926 | 3.0 | 3066 | 0.5921 | 0.8583 | 0.8587 | 0.8585 | 0.8587 |
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| 0.1104 | 4.0 | 4088 | 0.6870 | 0.8677 | 0.8674 | 0.8695 | 0.8674 |
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| 0.0544 | 5.0 | 5110 | 0.7819 | 0.8708 | 0.8707 | 0.8713 | 0.8707 |
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### Framework versions
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