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-21-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-21-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: 0.7768
+- Precision: 0.5980
+- Recall: 0.7114
+- F1: 0.6498
+- Accuracy: 0.8114
+
+## 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: 9.453261348481077e-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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.7887        | 1.0   | 104  | 1.0084          | 0.4610    | 0.5990 | 0.5210 | 0.7479   |
+| 0.8935        | 2.0   | 208  | 0.8393          | 0.5249    | 0.6618 | 0.5855 | 0.7872   |
+| 0.5383        | 3.0   | 312  | 0.7661          | 0.5499    | 0.6860 | 0.6104 | 0.7919   |
+| 0.3124        | 4.0   | 416  | 0.7768          | 0.5980    | 0.7114 | 0.6498 | 0.8114   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2