update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec2-base-finetune-vi-v5
+  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-base-finetune-vi-v5
+
+This model is a fine-tuned version of [foxxy-hm/wav2vec2-base-finetune-vi-v5](https://huggingface.co/foxxy-hm/wav2vec2-base-finetune-vi-v5) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2484
+- Wer: 0.1527
+
+## 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_steps: 1000
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 11.2332       | 0.49  | 500  | 3.4000          | 1.0    |
+| 1.4014        | 0.99  | 1000 | 0.3058          | 0.1825 |
+| 0.1614        | 1.48  | 1500 | 0.2742          | 0.1646 |
+| 0.1269        | 1.98  | 2000 | 0.2791          | 0.1628 |
+| 0.0991        | 2.47  | 2500 | 0.2642          | 0.1589 |
+| 0.0913        | 2.96  | 3000 | 0.2483          | 0.1555 |
+| 0.0833        | 3.46  | 3500 | 0.2528          | 0.1535 |
+| 0.0787        | 3.95  | 4000 | 0.2484          | 0.1527 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.0
+- Datasets 2.8.0
+- Tokenizers 0.13.3