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-9-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-9-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: 0.5988
+- Precision: 0.6628
+- Recall: 0.7547
+- F1: 0.7058
+- Accuracy: 0.8457
+
+## 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: 7.044494533766864e-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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.28          | 1.0   | 87   | 0.8146          | 0.5247    | 0.6511 | 0.5811 | 0.7895   |
+| 0.6127        | 2.0   | 174  | 0.6237          | 0.6171    | 0.7153 | 0.6626 | 0.8267   |
+| 0.3742        | 3.0   | 261  | 0.5970          | 0.6620    | 0.7577 | 0.7066 | 0.8485   |
+| 0.216         | 4.0   | 348  | 0.5988          | 0.6628    | 0.7547 | 0.7058 | 0.8457   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2