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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/mms-1b-all |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_6_1 |
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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-mms-1b-turkish-colab |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: common_voice_6_1 |
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type: common_voice_6_1 |
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config: sah |
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split: test |
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args: sah |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.25161387179102235 |
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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-mms-1b-turkish-colab |
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This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_6_1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1919 |
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- Wer: 0.2516 |
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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: 0.001 |
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- train_batch_size: 14 |
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- eval_batch_size: 8 |
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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: 100 |
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- num_epochs: 4 |
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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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| 3.8237 | 0.76 | 100 | 0.2160 | 0.2746 | |
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| 0.2621 | 1.52 | 200 | 0.2046 | 0.2647 | |
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| 0.2287 | 2.27 | 300 | 0.1980 | 0.2560 | |
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| 0.2263 | 3.03 | 400 | 0.1937 | 0.2530 | |
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| 0.2171 | 3.79 | 500 | 0.1919 | 0.2516 | |
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### Framework versions |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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