| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| base_model: microsoft/deberta-v3-large |
| model-index: |
| - name: roberta_crypto_profiling_task1_deberta |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # roberta_crypto_profiling_task1_deberta |
|
|
| This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.4722 |
| - Accuracy: 0.5176 |
| - F1: 0.4814 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | No log | 1.0 | 211 | 0.9966 | 0.5882 | 0.5030 | |
| | No log | 2.0 | 422 | 1.7145 | 0.5647 | 0.5360 | |
| | 0.5073 | 3.0 | 633 | 2.2226 | 0.5176 | 0.4695 | |
| | 0.5073 | 4.0 | 844 | 2.1071 | 0.5647 | 0.5222 | |
| | 0.112 | 5.0 | 1055 | 2.4722 | 0.5176 | 0.4814 | |
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| ### Framework versions |
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|
| - Transformers 4.29.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
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|
