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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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datasets: |
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- conll2003 |
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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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base_model: distilbert-base-uncased |
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model-index: |
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- name: distilbert-base-uncased-finetuned-ner |
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results: |
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- task: |
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type: token-classification |
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name: Token Classification |
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dataset: |
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name: conll2003 |
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type: conll2003 |
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args: conll2003 |
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metrics: |
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- type: precision |
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value: 0.9227969559942649 |
|
name: Precision |
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- type: recall |
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value: 0.9360107394563151 |
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name: Recall |
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- type: f1 |
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value: 0.9293568810396535 |
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name: F1 |
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- type: accuracy |
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value: 0.9833034139831922 |
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name: Accuracy |
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- task: |
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type: token-classification |
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name: Token Classification |
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dataset: |
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name: conll2003 |
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type: conll2003 |
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config: conll2003 |
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split: test |
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metrics: |
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- type: accuracy |
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value: 0.973914094330502 |
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name: Accuracy |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmJmZTE4OGY4MmNlZGJmMzJmZGYxMjQ5Nzc4MzEzODU2YjQwZWQ1ZDU1N2NmN2M2YjliZTQ3MmZhZjA2OGYwNCIsInZlcnNpb24iOjF9.w_Y03WPSKDkQnyC3FFw4qtffWqg4ZbjJ6zyIEl6dKTCf6rgrjbhJKIb3MsOIw34Ydb-M3TTpV2Ak43bsaXQ-DA |
|
- type: precision |
|
value: 0.9791360147483736 |
|
name: Precision |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODY2YjUwYTk5NGE1YWJlYjMyM2MyZGU4ZjE2MTM1ZGZiZDg4MTFjMGRkNzI5ODQ0ZTBlMmVkYzkyODIwYjgxMCIsInZlcnNpb24iOjF9.nChULEs9H0UFNtlM4m_kuBm9Ch981r7V4Axo1yvPIoPAPd6GyCopO615pyjd7bwXxYy4_nQpc1cBI5iY0OkHDA |
|
- type: recall |
|
value: 0.9793269742207723 |
|
name: Recall |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZmI0MzRkZjY4M2Y5YWE1OTdjNDNlN2NmNDVhMmEwODI2MmM1ZTViNDc1NzllZDdkOWZiZWVkMjQxNGM0YTQyZCIsInZlcnNpb24iOjF9.jS1iBDeJK7_QB7kanNxyfAnZm0HdS_EqBPjBCVhYCPEMRLnuXeuztdz_G4MczcZV6F2RoDjLJzxJdbuzKN1eCw |
|
- type: f1 |
|
value: 0.9792314851748437 |
|
name: F1 |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmQ1MjM1ZDU2YzlmY2JkYTU0MjU5MTIzNDc3MDZmNzJjZmNkNzI1ZDY0MWFmYjBhZjI5NTg3ZjY0NGFlYWZmOSIsInZlcnNpb24iOjF9.BtgL5tCizs8iH7LHOfl1aRfaW0Nxfx6kWldUmWbjDk_McZrK6BRxFnHDscVZ1wUa11rX1IjgC1_DOcMNBXq6BQ |
|
- type: loss |
|
value: 0.10710480064153671 |
|
name: loss |
|
verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYWU0MDY3OTAxZTUyNmNlMjA1MDdiNTg4ZmI4MTJmMDYyMTY4MjZjYzNkODFlMDY1M2RjMjMyNDkzNzBkMmQzNiIsInZlcnNpb24iOjF9.dU5jfYPYWXkiebzZ_c4HTxui6RoYYfAdShcSzXBY0v-pB9FEwm_-8vHOtT-rK_s_EwifpPobRfdpXL2Y7C33CA |
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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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# distilbert-base-uncased-finetuned-ner |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the conll2003 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0614 |
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- Precision: 0.9228 |
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- Recall: 0.9360 |
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- F1: 0.9294 |
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- Accuracy: 0.9833 |
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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: 16 |
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- eval_batch_size: 16 |
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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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| 0.2433 | 1.0 | 878 | 0.0732 | 0.9079 | 0.9190 | 0.9134 | 0.9795 | |
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| 0.0553 | 2.0 | 1756 | 0.0599 | 0.9170 | 0.9333 | 0.9251 | 0.9826 | |
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| 0.0305 | 3.0 | 2634 | 0.0614 | 0.9228 | 0.9360 | 0.9294 | 0.9833 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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