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README.md
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---
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language:
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- tr
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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: ''
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results: []
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#
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This model is a fine-tuned version of [cahya/wav2vec2-base-turkish-artificial
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It achieves the following results on the evaluation set:
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- Loss: 0.1409
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- Wer: 0.1309
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## Model description
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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:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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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:
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- num_epochs:
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### Training results
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### Framework versions
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- Transformers 4.17.0.dev0
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- Pytorch 1.10.
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- Datasets 1.18.3
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- Tokenizers 0.
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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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model-index:
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- name: ''
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results: []
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#
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This model is a fine-tuned version of [cahya/wav2vec2-base-turkish-artificial](https://huggingface.co/cahya/wav2vec2-base-turkish-artificial) on an unknown dataset.
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## Model description
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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: 128
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 512
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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: 100
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- num_epochs: 100.0
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.17.0.dev0
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- Pytorch 1.10.2+cu102
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- Datasets 1.18.3
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- Tokenizers 0.11.0
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