End of training
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README.md
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library_name: transformers
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license: apache-2.0
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base_model: google-bert/bert-
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tags:
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- generated_from_trainer
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metrics:
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# germanic_antielite_eng
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This model is a fine-tuned version of [google-bert/bert-
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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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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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### Framework versions
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---
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library_name: transformers
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license: apache-2.0
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base_model: google-bert/bert-base-multilingual-cased
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tags:
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- generated_from_trainer
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metrics:
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# germanic_antielite_eng
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3246
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- Accuracy: 0.9130
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- F1: 0.5271
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.2293 | 1.0 | 701 | 0.2211 | 0.9005 | 0.4645 |
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| 0.1704 | 2.0 | 1402 | 0.2803 | 0.9165 | 0.4429 |
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| 0.11 | 3.0 | 2103 | 0.3246 | 0.9130 | 0.5271 |
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### Framework versions
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model.safetensors
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runs/Nov26_01-43-32_6921bf48f74f/events.out.tfevents.1732585417.6921bf48f74f.11032.0
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