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-xlsr-53-english-pronunciation-evaluation-aod-cut-balance
+  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-xlsr-53-english-pronunciation-evaluation-aod-cut-balance
+
+This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0674
+- Accuracy: 0.6055
+- F1: 0.6017
+- Precision: 0.6074
+- Recall: 0.6055
+
+## 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
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 1.0011        | 1.0   | 105  | 1.0494          | 0.5      | 0.4111 | 0.4721    | 0.5    |
+| 0.7777        | 2.0   | 210  | 0.9454          | 0.5576   | 0.5178 | 0.5332    | 0.5576 |
+| 0.7462        | 3.0   | 315  | 1.1190          | 0.5815   | 0.5649 | 0.5757    | 0.5815 |
+| 0.6099        | 4.0   | 420  | 1.0299          | 0.6043   | 0.5975 | 0.5992    | 0.6043 |
+| 0.4457        | 5.0   | 525  | 1.0674          | 0.6055   | 0.6017 | 0.6074    | 0.6055 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3