| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: Twitter_Mit_HPSearch |
| 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. --> |
|
|
| # Twitter_Mit_HPSearch |
|
|
| This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.8389 |
| - Accuracy: 0.8442 |
|
|
| ## 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: |
| - learning_rate: 1.9771872814096894e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 23 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 4 |
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|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 421 | 0.3838 | 0.8353 | |
| | 0.4401 | 2.0 | 842 | 0.4340 | 0.8424 | |
| | 0.2042 | 3.0 | 1263 | 0.6857 | 0.8508 | |
| | 0.0774 | 4.0 | 1684 | 0.8389 | 0.8442 | |
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| ### Framework versions |
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| - Transformers 4.15.0 |
| - Pytorch 1.10.0+cu111 |
| - Datasets 1.17.0 |
| - Tokenizers 0.10.3 |
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