| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - precision |
| | - recall |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: twitter_ner |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # twitter_ner |
| | |
| | This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0142 |
| | - Precision: 0.9328 |
| | - Recall: 0.9504 |
| | - F1: 0.9415 |
| | - Accuracy: 0.9978 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 8e-05 |
| | - train_batch_size: 64 |
| | - eval_batch_size: 64 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 8 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | | No log | 1.0 | 30 | 0.2020 | 0.2932 | 0.0479 | 0.0824 | 0.9516 | |
| | | No log | 2.0 | 60 | 0.1365 | 0.4653 | 0.3328 | 0.3880 | 0.9651 | |
| | | No log | 3.0 | 90 | 0.0783 | 0.6292 | 0.6125 | 0.6207 | 0.9803 | |
| | | No log | 4.0 | 120 | 0.0465 | 0.7196 | 0.7793 | 0.7483 | 0.9877 | |
| | | No log | 5.0 | 150 | 0.0285 | 0.8493 | 0.8725 | 0.8608 | 0.9936 | |
| | | No log | 6.0 | 180 | 0.0197 | 0.9012 | 0.9204 | 0.9107 | 0.9963 | |
| | | No log | 7.0 | 210 | 0.0157 | 0.9124 | 0.9350 | 0.9235 | 0.9969 | |
| | | No log | 8.0 | 240 | 0.0142 | 0.9328 | 0.9504 | 0.9415 | 0.9978 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.30.1 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| | |
