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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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- id
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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-indonesian
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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-indonesian
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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 - ID dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2750
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- Wer: 0.3575
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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: 32
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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: 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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| 2.8112 | 4.72 | 1000 | 2.7786 | 1.0 |
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| 1.3803 | 9.43 | 2000 | 0.4971 | 0.5788 |
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| 1.1894 | 14.15 | 3000 | 0.3605 | 0.4442 |
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| 1.1019 | 18.87 | 4000 | 0.3252 | 0.4236 |
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| 1.0366 | 23.58 | 5000 | 0.3127 | 0.4023 |
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| 1.0217 | 28.3 | 6000 | 0.3027 | 0.3953 |
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| 0.9774 | 33.02 | 7000 | 0.2924 | 0.3965 |
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| 0.9485 | 37.74 | 8000 | 0.2949 | 0.3755 |
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| 0.9332 | 42.45 | 9000 | 0.2815 | 0.3665 |
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| 0.9093 | 47.17 | 10000 | 0.2780 | 0.3623 |
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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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