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update model card README.md

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+ ---
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+ language:
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+ - kmr
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+ license: apache-2.0
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+ tags:
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+ - automatic-speech-recognition
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+ - mozilla-foundation/common_voice_7_0
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+ - generated_from_trainer
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+ datasets:
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+ - common_voice
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+ model-index:
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+ - name: wav2vec2-large-xls-r-300m-kurdish
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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-large-xls-r-300m-kurdish
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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 MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - KMR dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2548
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+ - Wer: 0.2688
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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: 7e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 1
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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: 2000
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+ - num_epochs: 100.0
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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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+ | 1.3161 | 12.27 | 2000 | 0.4199 | 0.4797 |
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+ | 1.0643 | 24.54 | 4000 | 0.2982 | 0.3721 |
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+ | 0.9718 | 36.81 | 6000 | 0.2762 | 0.3333 |
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+ | 0.8772 | 49.08 | 8000 | 0.2586 | 0.3051 |
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+ | 0.8236 | 61.35 | 10000 | 0.2575 | 0.2865 |
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+ | 0.7745 | 73.62 | 12000 | 0.2603 | 0.2816 |
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+ | 0.7297 | 85.89 | 14000 | 0.2539 | 0.2727 |
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+ | 0.7079 | 98.16 | 16000 | 0.2554 | 0.2681 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.16.0.dev0
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+ - Pytorch 1.10.1+cu102
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+ - Datasets 1.17.1.dev0
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+ - Tokenizers 0.11.0