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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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metrics: |
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- wer |
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model-index: |
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- name: whisper-small-ar-12hrsdarijadata-April21-params1 |
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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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# whisper-small-ar-12hrsdarijadata-April21-params1 |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6189 |
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- Wer: 57.5010 |
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- Cer: 22.7156 |
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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: 1e-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: 300 |
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- training_steps: 4000 |
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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 | Cer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| 1.0603 | 0.38 | 250 | 0.8352 | 73.3652 | 36.2817 | |
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| 0.7041 | 0.75 | 500 | 0.6119 | 66.8656 | 29.7437 | |
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| 0.4434 | 1.13 | 750 | 0.5534 | 56.4001 | 24.9692 | |
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| 0.4344 | 1.51 | 1000 | 0.5341 | 55.8827 | 22.2788 | |
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| 0.3683 | 1.89 | 1250 | 0.5171 | 53.8931 | 23.3545 | |
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| 0.2964 | 2.26 | 1500 | 0.5245 | 53.2697 | 21.4447 | |
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| 0.2126 | 2.64 | 1750 | 0.5267 | 51.0545 | 19.9624 | |
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| 0.2095 | 3.02 | 2000 | 0.5428 | 55.1267 | 21.9697 | |
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| 0.1452 | 3.39 | 2250 | 0.5636 | 59.2386 | 23.4962 | |
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| 0.1123 | 3.77 | 2500 | 0.5598 | 54.0257 | 21.7816 | |
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| 0.077 | 4.15 | 2750 | 0.5809 | 53.5747 | 23.3614 | |
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| 0.0624 | 4.52 | 3000 | 0.5897 | 53.6941 | 22.1417 | |
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| 0.0492 | 4.9 | 3250 | 0.5973 | 54.0921 | 20.3922 | |
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| 0.0571 | 5.28 | 3500 | 0.6128 | 54.3043 | 21.2704 | |
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| 0.0637 | 5.66 | 3750 | 0.6139 | 54.6890 | 22.2114 | |
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| 0.0288 | 6.03 | 4000 | 0.6189 | 57.5010 | 22.7156 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.1.dev0 |
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- Tokenizers 0.13.3 |
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