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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-party-sentiment-bert-complete-gsbert |
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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-Party-Sentiment-Bert |
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This model is a fine-tuned version of [oliverguhr/german-sentiment-bert](https://huggingface.co/oliverguhr/german-sentiment-bert) on a dataset consisting of mentions of german political parties. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8912 |
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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: 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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| 1.2844 | 1.0 | 65 | 0.9382 | |
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| 0.9704 | 2.0 | 130 | 0.8912 | |
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| 0.7394 | 3.0 | 195 | 1.0455 | |
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| 0.5401 | 4.0 | 260 | 1.2711 | |
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| 0.4274 | 5.0 | 325 | 1.3578 | |
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| 0.2289 | 6.0 | 390 | 1.6143 | |
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| 0.1949 | 7.0 | 455 | 1.8376 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cu121 |
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- Tokenizers 0.15.1 |
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