DylanonWic
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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec2-large-asr-th
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results: []
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# wav2vec2-large-asr-th
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This model was trained from scratch on the None dataset.
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## Model description
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- total_train_batch_size: 48
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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:
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- training_steps: 3000
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.26.1
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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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model-index:
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- name: wav2vec2-large-asr-th
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results: []
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# wav2vec2-large-asr-th
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4214
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- Wer: 0.3708
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- Cer: 0.1236
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## Model description
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- total_train_batch_size: 48
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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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- training_steps: 3000
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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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| 0.6395 | 0.86 | 500 | 0.5238 | 0.4279 | 0.1463 |
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| 0.4942 | 1.71 | 1000 | 0.5227 | 0.4188 | 0.1404 |
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| 0.4195 | 2.57 | 1500 | 0.4984 | 0.4019 | 0.1344 |
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| 0.514 | 3.42 | 2000 | 0.4713 | 0.3828 | 0.1305 |
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| 0.4964 | 4.28 | 2500 | 0.4490 | 0.3780 | 0.1261 |
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| 0.5175 | 5.14 | 3000 | 0.4214 | 0.3708 | 0.1236 |
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### Framework versions
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- Transformers 4.26.1
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