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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-base-cynthia-tedlium-2500-v2 |
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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-base-cynthia-tedlium-2500-v2 |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6376 |
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- Wer: 0.2137 |
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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: 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: 50 |
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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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| 0.7233 | 5.26 | 400 | 5.6115 | 0.4909 | |
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| 0.7224 | 10.52 | 800 | 1.1835 | 0.3629 | |
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| 0.5193 | 15.78 | 1200 | 0.5786 | 0.2994 | |
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| 0.4114 | 21.05 | 1600 | 0.6535 | 0.2823 | |
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| 0.3279 | 26.31 | 2000 | 0.6783 | 0.2709 | |
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| 0.2711 | 31.58 | 2400 | 0.6570 | 0.2490 | |
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| 0.2776 | 36.84 | 2800 | 0.6724 | 0.2358 | |
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| 0.1805 | 42.1 | 3200 | 0.6212 | 0.2241 | |
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| 0.1535 | 47.37 | 3600 | 0.6376 | 0.2137 | |
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### Framework versions |
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- Transformers 4.11.3 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 1.13.3 |
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- Tokenizers 0.10.3 |
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