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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: Waynehills-STT-doogie-server |
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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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# Waynehills-STT-doogie-server |
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This model is a fine-tuned version of [Doogie/Waynehills-STT-doogie](https://huggingface.co/Doogie/Waynehills-STT-doogie) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8554 |
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- Wer: 0.9881 |
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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: 0.0001 |
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- train_batch_size: 1 |
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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: 1000 |
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- num_epochs: 20 |
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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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| 4.6882 | 1.2 | 1000 | 4.8098 | 0.9970 | |
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| 2.4927 | 2.4 | 2000 | 2.9959 | 1.0416 | |
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| 1.6066 | 3.59 | 3000 | 2.5789 | 0.9442 | |
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| 1.2902 | 4.79 | 4000 | 2.6152 | 1.0439 | |
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| 1.0486 | 5.99 | 5000 | 2.5047 | 1.0861 | |
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| 0.8648 | 7.19 | 6000 | 2.4007 | 0.9347 | |
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| 0.7659 | 8.38 | 7000 | 2.5087 | 0.9602 | |
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| 0.6357 | 9.58 | 8000 | 2.5803 | 1.0018 | |
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| 0.5684 | 10.78 | 9000 | 2.6190 | 0.9656 | |
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| 0.5647 | 11.98 | 10000 | 2.6129 | 0.9436 | |
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| 0.5048 | 13.17 | 11000 | 2.7174 | 0.9816 | |
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| 0.4405 | 14.37 | 12000 | 2.7107 | 0.9519 | |
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| 0.4273 | 15.57 | 13000 | 2.7672 | 0.9673 | |
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| 0.4049 | 16.77 | 14000 | 2.8277 | 0.9869 | |
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| 0.3731 | 17.96 | 15000 | 2.8238 | 0.9786 | |
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| 0.3761 | 19.16 | 16000 | 2.8554 | 0.9881 | |
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### Framework versions |
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- Transformers 4.12.5 |
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- Pytorch 1.10.0+cu113 |
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- Datasets 1.16.1 |
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- Tokenizers 0.10.3 |
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