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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ner_bert_urdu |
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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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# ner_bert_urdu |
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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: 0.0104 |
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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: 32 |
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- eval_batch_size: 64 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.0035 | 1.0 | 1314 | 0.0083 | |
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| 0.0032 | 2.0 | 2628 | 0.0084 | |
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| 0.0031 | 3.0 | 3942 | 0.0063 | |
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| 0.0036 | 4.0 | 5256 | 0.0070 | |
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| 0.0034 | 5.0 | 6570 | 0.0077 | |
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| 0.0033 | 6.0 | 7884 | 0.0086 | |
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| 0.0029 | 7.0 | 9198 | 0.0085 | |
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| 0.0028 | 8.0 | 10512 | 0.0101 | |
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| 0.0027 | 9.0 | 11826 | 0.0098 | |
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| 0.0024 | 10.0 | 13140 | 0.0104 | |
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### Framework versions |
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- Transformers 4.30.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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