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update model card README.md

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+ ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - librispeech_asr
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+ model-index:
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+ - name: ''
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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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+ #
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+
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+ This model was trained from scratch on the librispeech_asr dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 6.9553
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+ - Wer: 2.0097
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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: 0.0003
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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: 500
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+ - num_epochs: 3.0
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+ - mixed_precision_training: Native AMP
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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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+ | 6.8818 | 0.28 | 500 | 7.0258 | 1.0 |
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+ | 6.7558 | 0.56 | 1000 | 6.9731 | 1.0 |
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+ | 6.587 | 0.84 | 1500 | 6.9588 | 2.0097 |
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+ | 6.881 | 1.12 | 2000 | 6.9579 | 2.0097 |
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+ | 6.9616 | 1.4 | 2500 | 6.9553 | 2.0097 |
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+ | 6.8572 | 1.68 | 3000 | 6.9488 | 2.0097 |
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+ | 6.8827 | 1.96 | 3500 | 6.9496 | 2.0097 |
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+ | 6.8313 | 2.24 | 4000 | 6.9496 | 2.0097 |
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+ | 6.9634 | 2.52 | 4500 | 6.9445 | 2.0097 |
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+ | 6.7935 | 2.8 | 5000 | 6.9553 | 2.0097 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.17.0.dev0
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+ - Pytorch 1.10.2+cu113
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+ - Datasets 1.18.3
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+ - Tokenizers 0.11.0