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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: distilbert-finetuned-gesture-prediction-5-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-5-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: 0.5263 |
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- Precision: 0.6592 |
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- Recall: 0.7697 |
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- F1: 0.7102 |
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- Accuracy: 0.8714 |
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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: 9.294052849737191e-05 |
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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: 4 |
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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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| 0.9034 | 1.0 | 71 | 0.5358 | 0.5679 | 0.6929 | 0.6242 | 0.8347 | |
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| 0.3774 | 2.0 | 142 | 0.4307 | 0.6598 | 0.7758 | 0.7131 | 0.8721 | |
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| 0.1915 | 3.0 | 213 | 0.5510 | 0.6336 | 0.7475 | 0.6858 | 0.8589 | |
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| 0.09 | 4.0 | 284 | 0.5263 | 0.6592 | 0.7697 | 0.7102 | 0.8714 | |
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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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