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--- |
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base_model: mor40/BulBERT-chitanka-model |
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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: BulBERT-ner-wikiann_3epochs |
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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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# BulBERT-ner-wikiann_3epochs |
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This model is a fine-tuned version of [mor40/BulBERT-chitanka-model](https://huggingface.co/mor40/BulBERT-chitanka-model) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2315 |
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- Precision: 0.7856 |
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- Recall: 0.8456 |
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- F1: 0.8145 |
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- Accuracy: 0.9419 |
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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: 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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| 0.2412 | 1.0 | 2030 | 0.2453 | 0.7370 | 0.8098 | 0.7716 | 0.9275 | |
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| 0.159 | 2.0 | 4060 | 0.2240 | 0.7746 | 0.8358 | 0.8040 | 0.9393 | |
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| 0.1014 | 3.0 | 6090 | 0.2315 | 0.7856 | 0.8456 | 0.8145 | 0.9419 | |
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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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