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--- |
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license: apache-2.0 |
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base_model: openai/whisper-tiny |
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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: torgo_tiny_finetune_M04 |
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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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# torgo_tiny_finetune_M04 |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3396 |
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- Wer: 32.3430 |
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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: 16 |
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- eval_batch_size: 1 |
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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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| 0.6227 | 0.84 | 500 | 0.3265 | 33.1070 | |
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| 0.1027 | 1.69 | 1000 | 0.3360 | 32.6825 | |
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| 0.1001 | 2.53 | 1500 | 0.4014 | 60.0170 | |
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| 0.0686 | 3.37 | 2000 | 0.3220 | 40.3226 | |
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| 0.048 | 4.22 | 2500 | 0.3146 | 31.3243 | |
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| 0.0366 | 5.06 | 3000 | 0.3477 | 57.8098 | |
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| 0.0262 | 5.9 | 3500 | 0.3054 | 21.8166 | |
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| 0.0237 | 6.75 | 4000 | 0.3007 | 43.4635 | |
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| 0.0153 | 7.59 | 4500 | 0.2969 | 24.8727 | |
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| 0.0149 | 8.43 | 5000 | 0.3628 | 52.8014 | |
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| 0.0112 | 9.27 | 5500 | 0.3670 | 29.7963 | |
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| 0.0096 | 10.12 | 6000 | 0.3354 | 24.5331 | |
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| 0.007 | 10.96 | 6500 | 0.3464 | 57.0458 | |
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| 0.0052 | 11.8 | 7000 | 0.3246 | 30.1358 | |
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| 0.0037 | 12.65 | 7500 | 0.3677 | 50.7640 | |
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| 0.0021 | 13.49 | 8000 | 0.3359 | 34.0407 | |
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| 0.002 | 14.33 | 8500 | 0.3406 | 41.7657 | |
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| 0.0011 | 15.18 | 9000 | 0.3296 | 36.3328 | |
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| 0.0004 | 16.02 | 9500 | 0.3359 | 33.5314 | |
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| 0.0 | 16.86 | 10000 | 0.3381 | 40.2377 | |
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| 0.0003 | 17.71 | 10500 | 0.3388 | 35.1443 | |
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| 0.0 | 18.55 | 11000 | 0.3410 | 33.4465 | |
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| 0.0001 | 19.39 | 11500 | 0.3396 | 32.3430 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.7 |
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- Tokenizers 0.13.3 |
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