c-ho/academic_main_text_classifier_de
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README.md
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 32
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- eval_batch_size: 64
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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### Framework versions
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3391
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- Accuracy: 0.9254
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- Precision: 0.9254
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- Recall: 0.9254
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- F1: 0.9254
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 64
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.9051 | 1.0 | 268 | 0.4540 | 0.8490 | 0.8490 | 0.8490 | 0.8490 |
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| 0.4243 | 2.0 | 536 | 0.3658 | 0.9012 | 0.9012 | 0.9012 | 0.9012 |
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| 0.2644 | 3.0 | 804 | 0.3050 | 0.9175 | 0.9175 | 0.9175 | 0.9175 |
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| 0.1841 | 4.0 | 1072 | 0.2811 | 0.9263 | 0.9263 | 0.9263 | 0.9263 |
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| 0.1702 | 5.0 | 1340 | 0.3391 | 0.9254 | 0.9254 | 0.9254 | 0.9254 |
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### Framework versions
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model.safetensors
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