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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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metrics: |
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- wer |
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model-index: |
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- name: wav2vec2-large-asr-th |
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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-large-asr-th |
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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 None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5207 |
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- Wer: 0.4689 |
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- Cer: 0.1571 |
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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: 0.0002 |
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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: 200 |
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- training_steps: 3500 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| 3.6231 | 0.57 | 500 | 3.5254 | 1.0 | 0.9999 | |
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| 1.5065 | 1.14 | 1000 | 1.0542 | 0.7677 | 0.2939 | |
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| 1.0592 | 1.71 | 1500 | 0.7072 | 0.5837 | 0.2054 | |
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| 1.0818 | 2.28 | 2000 | 0.6309 | 0.5414 | 0.1887 | |
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| 1.0136 | 2.85 | 2500 | 0.5573 | 0.4966 | 0.1690 | |
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| 0.7907 | 3.42 | 3000 | 0.5207 | 0.4689 | 0.1571 | |
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| 0.8223 | 4.0 | 3500 | 0.5079 | 0.4642 | 0.1546 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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