update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: distilbert-finetuned-gesture-prediction-5-classes
+  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. -->
+
+# distilbert-finetuned-gesture-prediction-5-classes
+
+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: 0.5263
+- Precision: 0.6592
+- Recall: 0.7697
+- F1: 0.7102
+- Accuracy: 0.8714
+
+## 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: 9.294052849737191e-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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.9034        | 1.0   | 71   | 0.5358          | 0.5679    | 0.6929 | 0.6242 | 0.8347   |
+| 0.3774        | 2.0   | 142  | 0.4307          | 0.6598    | 0.7758 | 0.7131 | 0.8721   |
+| 0.1915        | 3.0   | 213  | 0.5510          | 0.6336    | 0.7475 | 0.6858 | 0.8589   |
+| 0.09          | 4.0   | 284  | 0.5263          | 0.6592    | 0.7697 | 0.7102 | 0.8714   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2