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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: distilbert-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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# distilbert-finetuned-gesture-prediction-21-classes |
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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: 0.8430 |
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- Accuracy: 0.8077 |
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- Precision: 0.8063 |
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- Recall: 0.8077 |
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- F1: 0.8038 |
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It achieves the following results on the test set: |
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- Loss: 0.8332 |
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- Accuracy: 0.7934 |
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- Precision: 0.7925 |
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- Recall: 0.7934 |
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- F1: 0.7875 |
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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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This 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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| 2.2082 | 1.0 | 104 | 1.3318 | 0.6956 | 0.6361 | 0.6956 | 0.6473 | |
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| 1.1512 | 2.0 | 208 | 1.0114 | 0.7604 | 0.7463 | 0.7604 | 0.7368 | |
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| 0.8152 | 3.0 | 312 | 0.8805 | 0.7860 | 0.7677 | 0.7860 | 0.7698 | |
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| 0.6142 | 4.0 | 416 | 0.8486 | 0.8025 | 0.8035 | 0.8025 | 0.7961 | |
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| 0.4726 | 5.0 | 520 | 0.8651 | 0.7992 | 0.7987 | 0.7992 | 0.7894 | |
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| 0.3677 | 6.0 | 624 | 0.8430 | 0.8077 | 0.8063 | 0.8077 | 0.8038 | |
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| 0.2967 | 7.0 | 728 | 0.8564 | 0.8037 | 0.8029 | 0.8037 | 0.7995 | |
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| 0.2494 | 8.0 | 832 | 0.8567 | 0.8077 | 0.8054 | 0.8077 | 0.8041 | |
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| 0.2163 | 9.0 | 936 | 0.8789 | 0.8075 | 0.8060 | 0.8075 | 0.8035 | |
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| 0.193 | 10.0 | 1040 | 0.8880 | 0.8077 | 0.8072 | 0.8077 | 0.8032 | |
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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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