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--- |
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license: apache-2.0 |
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base_model: 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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- 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: uner-muril-ner |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# uner-muril-ner |
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1356 |
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- Precision: 0.8055 |
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- Recall: 0.8642 |
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- F1: 0.8338 |
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- Accuracy: 0.9637 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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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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| No log | 1.0 | 144 | 0.1590 | 0.7660 | 0.7930 | 0.7793 | 0.9516 | |
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| No log | 2.0 | 288 | 0.1321 | 0.7907 | 0.8625 | 0.8250 | 0.9593 | |
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| No log | 3.0 | 432 | 0.1258 | 0.8002 | 0.8584 | 0.8283 | 0.9618 | |
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| 0.1493 | 4.0 | 576 | 0.1346 | 0.8009 | 0.8658 | 0.8321 | 0.9616 | |
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| 0.1493 | 5.0 | 720 | 0.1356 | 0.8055 | 0.8642 | 0.8338 | 0.9637 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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