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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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- common_voice_10_0 |
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model-index: |
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- name: uzbek_stt |
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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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# uzbek_stt |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice_10_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5984 |
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- Wer: 0.4632 |
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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: 0.0003 |
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- train_batch_size: 4 |
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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: 8 |
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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: 500 |
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- num_epochs: 15.0 |
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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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| 0.4736 | 3.4 | 10000 | 0.6247 | 0.6362 | |
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| 0.3392 | 6.8 | 20000 | 0.7254 | 0.5605 | |
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| 0.2085 | 10.19 | 30000 | 0.5465 | 0.5097 | |
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| 0.1387 | 13.59 | 40000 | 0.5984 | 0.4632 | |
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### Framework versions |
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- Transformers 4.22.0.dev0 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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