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--- |
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license: mit |
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base_model: oliverguhr/german-sentiment-bert |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: german-sentiment-bert-retrained-20240110 |
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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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# german-sentiment-bert-retrained-20240110 |
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This model is a fine-tuned version of [oliverguhr/german-sentiment-bert](https://huggingface.co/oliverguhr/german-sentiment-bert) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3965 |
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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: 8e-06 |
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- train_batch_size: 20 |
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- eval_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 120 |
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- num_epochs: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.2379 | 1.0 | 3 | 1.6068 | |
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| 2.2379 | 2.0 | 6 | 1.5979 | |
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| 2.2379 | 3.0 | 9 | 1.5805 | |
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| 2.2379 | 4.0 | 12 | 1.5571 | |
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| 2.2379 | 5.0 | 15 | 1.5176 | |
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| 2.2379 | 6.0 | 18 | 1.4626 | |
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| 2.2379 | 7.0 | 21 | 1.3965 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Tokenizers 0.15.0 |
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