update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: roberta-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. -->
+
+# roberta-finetuned-gesture-prediction-5-classes
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4016
+- Precision: 0.6731
+- Recall: 0.7778
+- F1: 0.7216
+- Accuracy: 0.8912
+
+## 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: 8.933445816612466e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.2011        | 1.0   | 36   | 0.7200          | 0.4537    | 0.5636 | 0.5027 | 0.7552   |
+| 0.473         | 2.0   | 72   | 0.5067          | 0.6552    | 0.7333 | 0.6921 | 0.8627   |
+| 0.2919        | 3.0   | 108  | 0.4244          | 0.6267    | 0.7394 | 0.6784 | 0.8721   |
+| 0.1748        | 4.0   | 144  | 0.4016          | 0.6731    | 0.7778 | 0.7216 | 0.8912   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2