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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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- common_voice |
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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-common_voice-tr-demo |
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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-common_voice-tr-demo |
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the COMMON_VOICE - TR dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3815 |
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- Wer: 0.3493 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| No log | 0.92 | 100 | 3.5559 | 1.0 | |
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| No log | 1.83 | 200 | 3.0161 | 0.9999 | |
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| No log | 2.75 | 300 | 0.8587 | 0.7443 | |
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| No log | 3.67 | 400 | 0.5855 | 0.6121 | |
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| 3.1095 | 4.59 | 500 | 0.4841 | 0.5204 | |
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| 3.1095 | 5.5 | 600 | 0.4533 | 0.4923 | |
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| 3.1095 | 6.42 | 700 | 0.4157 | 0.4342 | |
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| 3.1095 | 7.34 | 800 | 0.4304 | 0.4334 | |
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| 3.1095 | 8.26 | 900 | 0.4097 | 0.4068 | |
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| 0.2249 | 9.17 | 1000 | 0.4049 | 0.3881 | |
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| 0.2249 | 10.09 | 1100 | 0.3993 | 0.3809 | |
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| 0.2249 | 11.01 | 1200 | 0.3855 | 0.3782 | |
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| 0.2249 | 11.93 | 1300 | 0.3923 | 0.3713 | |
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| 0.2249 | 12.84 | 1400 | 0.3833 | 0.3591 | |
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| 0.1029 | 13.76 | 1500 | 0.3811 | 0.3570 | |
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| 0.1029 | 14.68 | 1600 | 0.3834 | 0.3499 | |
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### Framework versions |
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- Transformers 4.13.0.dev0 |
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- Pytorch 1.12.0a0+2c916ef |
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- Datasets 2.2.2 |
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- Tokenizers 0.10.3 |
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