gglabs/stt-turbo-multilingual-v0.0.10
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README.md
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the custom_multilingual dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps:
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch
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| 0.
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### Framework versions
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This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the custom_multilingual dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3980
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- Wer: 15.3116
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## Model description
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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: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 200
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- training_steps: 5000
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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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| 0.3199 | 1.0971 | 500 | 0.3644 | 18.0913 |
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| 0.2659 | 2.1942 | 1000 | 0.3579 | 17.1415 |
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| 0.2321 | 3.2913 | 1500 | 0.3579 | 16.6319 |
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| 0.2101 | 4.3884 | 2000 | 0.3635 | 16.3539 |
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| 0.1901 | 5.4855 | 2500 | 0.3677 | 15.7470 |
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| 0.1673 | 6.5826 | 3000 | 0.3748 | 15.4413 |
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| 0.146 | 7.6796 | 3500 | 0.3813 | 15.4691 |
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| 0.13 | 8.7767 | 4000 | 0.3879 | 15.6266 |
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| 0.1206 | 9.8738 | 4500 | 0.3950 | 15.4459 |
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| 0.1091 | 10.9709 | 5000 | 0.3980 | 15.3116 |
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### Framework versions
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adapter_model.safetensors
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runs/May23_11-15-26_ubuntu/events.out.tfevents.1747998928.ubuntu.2088417.0
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training_args.bin
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