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---
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tags:
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- generated_from_trainer
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model-index:
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- name: CryptoBERT
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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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# CryptoBERT
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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: 0.3823
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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: 16
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.4077 | 1.0 | 27 | 0.4257 |
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| 0.2048 | 2.0 | 54 | 0.2479 |
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| 0.0725 | 3.0 | 81 | 0.3068 |
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| 0.0028 | 4.0 | 108 | 0.4120 |
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| 0.0014 | 5.0 | 135 | 0.3566 |
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| 0.0007 | 6.0 | 162 | 0.3495 |
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| 0.0006 | 7.0 | 189 | 0.3645 |
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| 0.0005 | 8.0 | 216 | 0.3754 |
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| 0.0004 | 9.0 | 243 | 0.3804 |
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| 0.0004 | 10.0 | 270 | 0.3823 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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