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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_1_0 |
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metrics: |
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- wer |
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model-index: |
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- name: fineturning-without-pretraining |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: common_voice_1_0 |
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type: common_voice_1_0 |
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config: en |
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split: validation |
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args: en |
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metrics: |
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- name: Wer |
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type: wer |
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value: 1.1837902495797232 |
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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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# fineturning-without-pretraining |
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This model is a fine-tuned version of [](https://huggingface.co/) on the common_voice_1_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 812.3214 |
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- Wer: 1.1838 |
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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: 5e-05 |
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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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- 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: 25 |
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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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| 2141.1597 | 2.15 | 500 | 908.3237 | 1.0 | |
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| 1549.364 | 4.29 | 1000 | 813.9642 | 1.1682 | |
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| 1442.1247 | 6.44 | 1500 | 788.9472 | 1.5341 | |
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| 1395.3347 | 8.58 | 2000 | 757.5609 | 1.2662 | |
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| 1344.5591 | 10.73 | 2500 | 751.7140 | 1.1790 | |
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| 1289.6164 | 12.88 | 3000 | 746.7259 | 1.2651 | |
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| 1248.0024 | 15.02 | 3500 | 761.1828 | 1.2634 | |
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| 1208.4588 | 17.17 | 4000 | 789.4526 | 1.1426 | |
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| 1162.758 | 19.31 | 4500 | 794.2302 | 1.1521 | |
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| 1118.2571 | 21.46 | 5000 | 803.2517 | 1.2117 | |
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| 1097.6801 | 23.61 | 5500 | 812.3214 | 1.1838 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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