| | --- |
| | license: apache-2.0 |
| | widget: |
| | - text: I'm fine. Who is this? |
| | - text: You can't take anything seriously. |
| | - text: In the end he's going to croak, isn't he? |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - precision |
| | - recall |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: bert-gest-pred-seqeval-partialmatch |
| | results: [] |
| | datasets: |
| | - Jsevisal/gesture_pred |
| | pipeline_tag: token-classification |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # bert-gest-pred-seqeval-partialmatch |
| |
|
| | This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7270 |
| | - Precision: 0.771293 |
| | - Recall: 0.720130 |
| | - F1: 0.727670 |
| | - Accuracy: 0.819896 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | | 1.8976 | 1.0 | 147 | 1.1361 | 0.4802 | 0.4141 | 0.4034 | 0.7009 | |
| | | 0.916 | 2.0 | 294 | 0.8206 | 0.6045 | 0.5622 | 0.5493 | 0.7744 | |
| | | 0.5893 | 3.0 | 441 | 0.7711 | 0.7318 | 0.6613 | 0.6747 | 0.7952 | |
| | | 0.4019 | 4.0 | 588 | 0.7270 | 0.7713 | 0.7201 | 0.7277 | 0.8199 | |
| | | 0.2713 | 5.0 | 735 | 0.7353 | 0.8000 | 0.7512 | 0.7545 | 0.8349 | |
| | | 0.1831 | 6.0 | 882 | 0.7802 | 0.7958 | 0.7245 | 0.7375 | 0.8303 | |
| | | 0.1343 | 7.0 | 1029 | 0.7785 | 0.7652 | 0.7351 | 0.7204 | 0.8362 | |
| | | 0.0989 | 8.0 | 1176 | 0.8017 | 0.7753 | 0.7317 | 0.7313 | 0.8322 | |
| | | 0.079 | 9.0 | 1323 | 0.8281 | 0.7844 | 0.7297 | 0.7325 | 0.8349 | |
| | | 0.0673 | 10.0 | 1470 | 0.8238 | 0.7765 | 0.7347 | 0.7289 | 0.8355 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.27.3 |
| | - Pytorch 1.13.1+cu116 |
| | - Datasets 2.10.1 |
| | - Tokenizers 0.13.2 |
