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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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+ datasets:
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+ - xtreme_s
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+ model-index:
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+ - name: xtreme_s_xlsr_mls_upd
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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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+ # xtreme_s_xlsr_mls_upd
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the xtreme_s dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.1373
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+ - Wer: 1.0
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+ - Cer: 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: 0.0003
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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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+ - distributed_type: multi-GPU
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+ - num_devices: 2
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+ - total_train_batch_size: 64
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+ - total_eval_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: 1
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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 | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:---:|:---:|
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+ | 3.4678 | 0.59 | 20 | 3.4581 | 1.0 | 1.0 |
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+ | 3.1713 | 1.18 | 40 | 3.1816 | 1.0 | 1.0 |
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+ | 3.134 | 1.76 | 60 | 3.1538 | 1.0 | 1.0 |
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+ | 3.132 | 2.35 | 80 | 3.1411 | 1.0 | 1.0 |
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+ | 3.1295 | 2.94 | 100 | 3.1373 | 1.0 | 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 4.18.0.dev0
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+ - Pytorch 1.10.2+cu113
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+ - Datasets 1.18.4.dev0
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+ - Tokenizers 0.11.6