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--- |
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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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- cer |
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model-index: |
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- name: wav2vec2-large-asr-th-2 |
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results: [] |
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datasets: |
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- common_voice |
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- mozilla-foundation/common_voice_10_0 |
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language: |
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- th |
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pipeline_tag: automatic-speech-recognition |
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library_name: transformers |
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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-2 |
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This model was find-tune from on the CommonVoice dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2310 |
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- Wer: 32.99% |
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- Cer: 3.75% |
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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: 1e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 3 |
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- total_train_batch_size: 36 |
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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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- training_steps: 5000 |
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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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| 0.065 | 0.18 | 1000 | 0.5433 | 0.3259 | 0.0891 | |
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| 0.0792 | 0.36 | 2000 | 0.5453 | 0.3269 | 0.0901 | |
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| 0.1663 | 0.53 | 3000 | 0.4702 | 0.3299 | 0.0908 | |
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| 0.7971 | 0.71 | 4000 | 0.2513 | 0.3244 | 0.0889 | |
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| 0.7588 | 0.89 | 5000 | 0.2310 | 0.3196 | 0.0878 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
