update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: base-asr-with-tpbs-cv5
+  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. -->
+
+# base-asr-with-tpbs-cv5
+
+This model is a fine-tuned version of [Botnoi/base-asr-with-lm](https://huggingface.co/Botnoi/base-asr-with-lm) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7171
+- Wer: 0.3059
+- Cer: 0.0883
+- Clean Cer: 0.0817
+
+## 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: 32
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    | Clean Cer |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|
+| 0.1245        | 26.67 | 400  | 0.6505          | 0.3059 | 0.0887 | 0.0808    |
+| 0.0431        | 53.33 | 800  | 0.6855          | 0.3049 | 0.0897 | 0.0826    |
+| 0.0291        | 80.0  | 1200 | 0.7171          | 0.3059 | 0.0883 | 0.0817    |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 1.13.1+cu117
+- Datasets 2.11.0
+- Tokenizers 0.13.2