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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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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: 3.7473 |
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- Cer: 0.9999 |
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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: 0.0005 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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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: 250 |
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- training_steps: 1000 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 4.2296 | 0.56 | 100 | 4.0607 | 0.9999 | |
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| 3.6029 | 1.13 | 200 | 3.9200 | 0.9999 | |
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| 3.6003 | 1.69 | 300 | 3.7882 | 0.9999 | |
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| 3.6346 | 2.26 | 400 | 3.7473 | 0.9999 | |
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| 3.6041 | 2.82 | 500 | 3.9651 | 0.9999 | |
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| 3.5491 | 3.39 | 600 | 3.9053 | 0.9999 | |
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| 3.568 | 3.95 | 700 | 3.7021 | 0.9999 | |
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| 3.5773 | 4.52 | 800 | 3.6694 | 0.9999 | |
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| 3.5367 | 5.08 | 900 | 3.6426 | 0.9999 | |
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| 3.5112 | 5.65 | 1000 | 3.6260 | 0.9999 | |
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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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