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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: qfrodicio/gesture-prediction-21-classes |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: bert-finetuned-gesture-prediction-21-classes |
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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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# bert-finetuned-gesture-prediction-21-classes |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset. |
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It achieves the following results on the validation set: |
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- Loss: 0.8664 |
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- Accuracy: 0.8123 |
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- Precision: 0.8122 |
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- Recall: 0.8123 |
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- F1: 0.8048 |
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It achieves the following results on the test set: |
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- Loss: 0.8381 |
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- Accuracy: 0.7884 |
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- Precision: 0.7954 |
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- Recall: 0.7884 |
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- F1: 0.7827 |
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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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The model has been trained with the qfrodicio/gesture-prediction-21-classes dataset |
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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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- weight_decay: 0.01 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 2.225 | 1.0 | 104 | 1.3314 | 0.7115 | 0.6469 | 0.7115 | 0.6675 | |
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| 1.0881 | 2.0 | 208 | 0.9569 | 0.7750 | 0.7577 | 0.7750 | 0.7525 | |
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| 0.7006 | 3.0 | 312 | 0.8805 | 0.7959 | 0.7917 | 0.7959 | 0.7831 | |
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| 0.4943 | 4.0 | 416 | 0.8664 | 0.8123 | 0.8122 | 0.8123 | 0.8048 | |
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| 0.3372 | 5.0 | 520 | 0.8765 | 0.8130 | 0.8102 | 0.8130 | 0.8053 | |
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| 0.2416 | 6.0 | 624 | 0.8772 | 0.8166 | 0.8139 | 0.8166 | 0.8107 | |
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| 0.178 | 7.0 | 728 | 0.9186 | 0.8217 | 0.8186 | 0.8217 | 0.8167 | |
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| 0.1302 | 8.0 | 832 | 0.9186 | 0.8202 | 0.8183 | 0.8202 | 0.8165 | |
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| 0.1063 | 9.0 | 936 | 0.9618 | 0.8245 | 0.8213 | 0.8245 | 0.8198 | |
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| 0.094 | 10.0 | 1040 | 0.9660 | 0.8214 | 0.8184 | 0.8214 | 0.8166 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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