update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: Wav2vec2-large-robust-Pronounciation-Evaluation
+  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. -->
+
+# Wav2vec2-large-robust-Pronounciation-Evaluation
+
+This model is a fine-tuned version of [facebook/wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7846
+- Accuracy: 0.72
+- F1: 0.72
+- Precision: 0.72
+- Recall: 0.72
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1    | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|:---------:|:------:|
+| 0.7468        | 1.0   | 500  | 0.9762          | 0.616    | 0.616 | 0.616     | 0.616  |
+| 0.492         | 2.0   | 1000 | 1.1308          | 0.536    | 0.536 | 0.536     | 0.536  |
+| 0.619         | 3.0   | 1500 | 0.7913          | 0.688    | 0.688 | 0.688     | 0.688  |
+| 0.56          | 4.0   | 2000 | 0.8142          | 0.67     | 0.67  | 0.67      | 0.67   |
+| 0.4561        | 5.0   | 2500 | 0.7452          | 0.708    | 0.708 | 0.708     | 0.708  |
+| 0.5474        | 6.0   | 3000 | 0.7846          | 0.72     | 0.72  | 0.72      | 0.72   |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3