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Commandante
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german-party-sentiment-bert-complete-synonyms-5e-5

Text Classification
Transformers
Safetensors
bert
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End of training

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  1. README.md +15 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mdraw/german-news-sentiment-bert](https://huggingface.co/mdraw/german-news-sentiment-bert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8772
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  ## Model description
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@@ -40,19 +40,26 @@ The following hyperparameters were used during training:
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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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  | 0.9596 | 1.0 | 70 | 0.9676 |
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- | 0.9122 | 2.0 | 140 | 0.8772 |
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- | 0.7319 | 3.0 | 210 | 0.9692 |
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- | 0.5629 | 4.0 | 280 | 1.1677 |
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- | 0.2991 | 5.0 | 350 | 1.5856 |
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- | 0.2597 | 6.0 | 420 | 1.8115 |
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- | 0.1376 | 7.0 | 490 | 1.9232 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [mdraw/german-news-sentiment-bert](https://huggingface.co/mdraw/german-news-sentiment-bert) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8769
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  ## Model description
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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: 14
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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  | 0.9596 | 1.0 | 70 | 0.9676 |
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+ | 0.9122 | 2.0 | 140 | 0.8769 |
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+ | 0.7382 | 3.0 | 210 | 0.9984 |
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+ | 0.5708 | 4.0 | 280 | 1.1080 |
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+ | 0.3579 | 5.0 | 350 | 1.4137 |
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+ | 0.3066 | 6.0 | 420 | 1.8204 |
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+ | 0.1716 | 7.0 | 490 | 1.8167 |
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+ | 0.1974 | 8.0 | 560 | 2.1479 |
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+ | 0.1164 | 9.0 | 630 | 2.3899 |
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+ | 0.0878 | 10.0 | 700 | 2.5266 |
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+ | 0.07 | 11.0 | 770 | 2.7014 |
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+ | 0.0604 | 12.0 | 840 | 2.7048 |
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+ | 0.0278 | 13.0 | 910 | 2.8119 |
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+ | 0.0376 | 14.0 | 980 | 2.8799 |
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  ### Framework versions
model.safetensors CHANGED
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