End of training
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README.md
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---
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base_model: google-bert/bert-base-multilingual-cased
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library_name: transformers
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license: apache-2.0
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-f1-durga-muhammad
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results: []
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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.
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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 results
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| Training Loss | Epoch
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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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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: bert-f1-durga-muhammad
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results: []
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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: 0.0079
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- Accuracy: 0.999
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- Precision: 0.999
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- Recall: 0.999
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- F1: 0.999
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:-----:|
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| 0.1978 | 0.24 | 60 | 0.1764 | 0.968 | 0.968 | 0.968 | 0.968 |
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| 0.1657 | 0.48 | 120 | 0.0619 | 0.981 | 0.981 | 0.981 | 0.981 |
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| 0.1155 | 0.72 | 180 | 0.0475 | 0.989 | 0.989 | 0.989 | 0.989 |
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| 0.0675 | 0.96 | 240 | 0.0143 | 0.997 | 0.997 | 0.997 | 0.997 |
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| 0.0009 | 1.2 | 300 | 0.0148 | 0.997 | 0.997 | 0.997 | 0.997 |
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| 0.0006 | 1.44 | 360 | 0.0151 | 0.997 | 0.997 | 0.997 | 0.997 |
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| 0.0267 | 1.6800 | 420 | 0.0083 | 0.999 | 0.999 | 0.999 | 0.999 |
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| 0.0335 | 1.92 | 480 | 0.0080 | 0.999 | 0.999 | 0.999 | 0.999 |
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| 0.0315 | 2.16 | 540 | 0.0073 | 0.999 | 0.999 | 0.999 | 0.999 |
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| 0.0056 | 2.4 | 600 | 0.0076 | 0.999 | 0.999 | 0.999 | 0.999 |
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| 0.0004 | 2.64 | 660 | 0.0078 | 0.999 | 0.999 | 0.999 | 0.999 |
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| 0.0004 | 2.88 | 720 | 0.0079 | 0.999 | 0.999 | 0.999 | 0.999 |
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### Framework versions
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model.safetensors
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