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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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- ab
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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_8_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-abkhaz-cv8
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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-abkhaz-cv8
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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_8_0 - AB dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1614
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- Wer: 0.2907
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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: 16
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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: 4000
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- num_epochs: 50.0
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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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| 1.2881 | 4.26 | 4000 | 0.3764 | 0.6461 |
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| 1.0767 | 8.53 | 8000 | 0.2657 | 0.5164 |
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| 0.9841 | 12.79 | 12000 | 0.2330 | 0.4445 |
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| 0.9274 | 17.06 | 16000 | 0.2134 | 0.3929 |
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| 0.8781 | 21.32 | 20000 | 0.1945 | 0.3886 |
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| 0.8381 | 25.59 | 24000 | 0.1840 | 0.3737 |
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| 0.8054 | 29.85 | 28000 | 0.1756 | 0.3523 |
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| 0.7763 | 34.12 | 32000 | 0.1745 | 0.3299 |
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| 0.7474 | 38.38 | 36000 | 0.1677 | 0.3074 |
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| 0.7298 | 42.64 | 40000 | 0.1649 | 0.2963 |
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| 0.7125 | 46.91 | 44000 | 0.1617 | 0.2931 |
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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 1.18.3
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- Tokenizers 0.11.0
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