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--- |
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license: apache-2.0 |
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base_model: distilbert-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-distilbert-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-distilbert-ner |
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This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-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: 0.1575 |
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- Precision: 0.7908 |
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- Recall: 0.8167 |
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- F1: 0.8035 |
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- Accuracy: 0.9533 |
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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 | 0.2222 | 0.6615 | 0.6686 | 0.6650 | 0.9266 | |
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| No log | 2.0 | 288 | 0.1752 | 0.7359 | 0.7684 | 0.7518 | 0.9442 | |
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| No log | 3.0 | 432 | 0.1541 | 0.7709 | 0.7987 | 0.7846 | 0.9507 | |
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| 0.2098 | 4.0 | 576 | 0.1601 | 0.7755 | 0.8224 | 0.7983 | 0.9537 | |
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| 0.2098 | 5.0 | 720 | 0.1575 | 0.7908 | 0.8167 | 0.8035 | 0.9533 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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