german-party-sentiment-bert-241-synonyms-gsb
This model is a fine-tuned version of oliverguhr/german-sentiment-bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9954
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 8e-06
- train_batch_size: 20
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 120
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2316 | 1.0 | 28 | 2.0246 |
| 1.9893 | 2.0 | 56 | 1.4143 |
| 1.9893 | 3.0 | 84 | 1.0818 |
| 1.1552 | 4.0 | 112 | 0.9954 |
| 1.1552 | 5.0 | 140 | 0.9998 |
| 0.9247 | 6.0 | 168 | 1.0124 |
| 0.8037 | 7.0 | 196 | 1.0044 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.2+cu118
- Tokenizers 0.15.1
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Base model
oliverguhr/german-sentiment-bert