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update model card README.md

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: wav2vec2-9
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # wav2vec2-9
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.0821
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+ - Wer: 1.0
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.005
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+ - train_batch_size: 32
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 400
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+ - num_epochs: 30
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:---:|
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+ | 3.2803 | 1.56 | 200 | 3.1231 | 1.0 |
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+ | 2.8809 | 3.12 | 400 | 3.0366 | 1.0 |
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+ | 2.8761 | 4.69 | 600 | 3.1217 | 1.0 |
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+ | 2.8641 | 6.25 | 800 | 3.0584 | 1.0 |
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+ | 2.866 | 7.81 | 1000 | 3.0318 | 1.0 |
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+ | 2.865 | 9.38 | 1200 | 3.0789 | 1.0 |
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+ | 2.8642 | 10.94 | 1400 | 3.0560 | 1.0 |
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+ | 2.8617 | 12.5 | 1600 | 2.9985 | 1.0 |
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+ | 2.8573 | 14.06 | 1800 | 3.1928 | 1.0 |
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+ | 2.8609 | 15.62 | 2000 | 3.0782 | 1.0 |
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+ | 2.8605 | 17.19 | 2200 | 3.1244 | 1.0 |
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+ | 2.8638 | 18.75 | 2400 | 3.0417 | 1.0 |
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+ | 2.8578 | 20.31 | 2600 | 3.1586 | 1.0 |
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+ | 2.8579 | 21.88 | 2800 | 3.0409 | 1.0 |
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+ | 2.8569 | 23.44 | 3000 | 3.0537 | 1.0 |
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+ | 2.8574 | 25.0 | 3200 | 3.0105 | 1.0 |
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+ | 2.8536 | 26.56 | 3400 | 3.0901 | 1.0 |
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+ | 2.8571 | 28.12 | 3600 | 3.0904 | 1.0 |
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+ | 2.8532 | 29.69 | 3800 | 3.0821 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.19.2
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+ - Pytorch 1.11.0+cu113
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+ - Datasets 2.2.2
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+ - Tokenizers 0.12.1