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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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- robust-speech-event |
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datasets: |
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- common_voice |
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model-index: |
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- name: wav2vec2-xls-r-300m-Turkish-Tr-small-CommonVoice8 |
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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-xls-r-300m-Turkish-Tr-small-CommonVoice8 |
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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 common_voice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4813 |
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- Wer: 0.7207 |
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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: 5 |
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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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| 5.2 | 0.53 | 400 | 3.1949 | 0.9964 | |
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| 2.9387 | 1.07 | 800 | 2.5015 | 1.0337 | |
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| 1.5975 | 1.6 | 1200 | 1.0928 | 0.9945 | |
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| 1.0688 | 2.13 | 1600 | 0.8388 | 0.9390 | |
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| 0.8977 | 2.66 | 2000 | 0.7106 | 0.8889 | |
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| 0.789 | 3.2 | 2400 | 0.6051 | 0.8273 | |
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| 0.7116 | 3.73 | 2800 | 0.5580 | 0.7855 | |
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| 0.6576 | 4.26 | 3200 | 0.5033 | 0.7433 | |
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| 0.6002 | 4.79 | 3600 | 0.4813 | 0.7207 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.18.1 |
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- Tokenizers 0.10.3 |
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