Model save
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README.md
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@@ -3,6 +3,11 @@ license: apache-2.0
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-base-uncased-finetuned-ner
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results: []
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# bert-base-uncased-finetuned-ner
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Framework versions
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- Transformers 4.36.2
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: bert-base-uncased-finetuned-ner
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results: []
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# bert-base-uncased-finetuned-ner
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1340
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- Precision: 0.9582
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- Recall: 0.9500
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- F1: 0.9541
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- Accuracy: 0.9499
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.1595 | 0.5 | 7000 | 0.1539 | 0.9469 | 0.9377 | 0.9423 | 0.9375 |
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| 0.1497 | 0.99 | 14000 | 0.1383 | 0.9549 | 0.9418 | 0.9483 | 0.9437 |
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| 0.1185 | 1.49 | 21000 | 0.1314 | 0.9557 | 0.9464 | 0.9510 | 0.9467 |
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| 0.1153 | 1.99 | 28000 | 0.1306 | 0.9553 | 0.9503 | 0.9528 | 0.9487 |
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| 0.0977 | 2.49 | 35000 | 0.1340 | 0.9582 | 0.9500 | 0.9541 | 0.9499 |
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| 0.0948 | 2.98 | 42000 | 0.1325 | 0.9584 | 0.9512 | 0.9548 | 0.9506 |
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### Framework versions
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- Transformers 4.36.2
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