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README.md
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---
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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# IntangibleBERT
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 1.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 64 | 0.
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| No log | 2.0 | 128 | 0.
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### Framework versions
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base_model: ProsusAI/finbert
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tags:
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- generated_from_trainer
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metrics:
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# IntangibleBERT
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This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0023
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- Accuracy: 1.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 64 | 0.0094 | 1.0 |
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| No log | 2.0 | 128 | 0.0023 | 1.0 |
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### Framework versions
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