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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: span-marker-bert-base-multilingual-cased-multinerd |
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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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# span-marker-bert-base-multilingual-cased-multinerd |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0049 |
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- Overall Precision: 0.9242 |
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- Overall Recall: 0.9281 |
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- Overall F1: 0.9261 |
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- Overall Accuracy: 0.9852 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | |
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|:-------------:|:-----:|:------:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:| |
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| 0.0129 | 1.0 | 50436 | 0.0042 | 0.9226 | 0.9169 | 0.9197 | 0.9837 | |
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| 0.0027 | 2.0 | 100873 | 0.0043 | 0.9255 | 0.9206 | 0.9230 | 0.9846 | |
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| 0.0015 | 3.0 | 151308 | 0.0049 | 0.9242 | 0.9281 | 0.9261 | 0.9852 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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