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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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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: twitter_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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# twitter_ner |
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0142 |
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- Precision: 0.9328 |
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- Recall: 0.9504 |
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- F1: 0.9415 |
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- Accuracy: 0.9978 |
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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: 8e-05 |
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- train_batch_size: 64 |
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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: 8 |
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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 | 30 | 0.2020 | 0.2932 | 0.0479 | 0.0824 | 0.9516 | |
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| No log | 2.0 | 60 | 0.1365 | 0.4653 | 0.3328 | 0.3880 | 0.9651 | |
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| No log | 3.0 | 90 | 0.0783 | 0.6292 | 0.6125 | 0.6207 | 0.9803 | |
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| No log | 4.0 | 120 | 0.0465 | 0.7196 | 0.7793 | 0.7483 | 0.9877 | |
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| No log | 5.0 | 150 | 0.0285 | 0.8493 | 0.8725 | 0.8608 | 0.9936 | |
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| No log | 6.0 | 180 | 0.0197 | 0.9012 | 0.9204 | 0.9107 | 0.9963 | |
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| No log | 7.0 | 210 | 0.0157 | 0.9124 | 0.9350 | 0.9235 | 0.9969 | |
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| No log | 8.0 | 240 | 0.0142 | 0.9328 | 0.9504 | 0.9415 | 0.9978 | |
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### Framework versions |
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- Transformers 4.30.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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