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update model card README.md
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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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<!-- 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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# wav2vec2-large-xls-r-300m-kurdish
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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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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### Framework versions
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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
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