elenanereiss
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README.md
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---
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license: cc-by-4.0
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---
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---
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language: de
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license: cc-by-4.0
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tags:
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- generated_from_trainer
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datasets:
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- elenanereiss/german-ler
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metrics:
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- precision
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- recall
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- f1
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---
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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: 1e-05
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- train_batch_size: 12
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- eval_batch_size: 16
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- max seq length: 512
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- num_epochs: 3
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### Results
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eval_loss = 0.020239440724253654
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eval_accuracy_score = 0.9953227664227791
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eval_precision = 0.9212203128016991
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eval_recall = 0.9458762886597938
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eval_f1 = 0.9333855032769246
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eval_runtime = 111.4147
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eval_samples_per_second = 59.875
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eval_steps_per_second = 3.743
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epoch = 3.0
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test_loss = 0.011871221475303173
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test_accuracy_score = 0.9969460436964865
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test_precision = 0.9449558173784978
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test_recall = 0.9644870349492672
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test_f1 = 0.9546215361725869
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test_runtime = 111.5143
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test_samples_per_second = 59.849
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test_steps_per_second = 3.748
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