End of training
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- model.safetensors +1 -1
README.md
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base_model: openai/whisper-small
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tags:
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- generated_from_trainer
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model-index:
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- name: whisper-small-sc
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results: []
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 1028.1037
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- eval_samples_per_second: 4.343
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- eval_steps_per_second: 0.136
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- epoch: 4.6012
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- step: 750
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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:
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- train_batch_size:
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- eval_batch_size: 32
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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: 250
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- training_steps: 2500
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.44.2
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base_model: openai/whisper-small
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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-sc
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results: []
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2992
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- Wer Ortho: 10.7269
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- Wer: 10.2317
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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: 1e-05
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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: 2
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- total_train_batch_size: 32
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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: 250
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- training_steps: 2500
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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 Ortho | Wer |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
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| 0.2799 | 0.7704 | 250 | 0.2614 | 12.1130 | 11.6261 |
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| 0.1454 | 1.5408 | 500 | 0.2367 | 11.0523 | 10.6016 |
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| 0.072 | 2.3112 | 750 | 0.2428 | 10.6736 | 10.2154 |
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| 0.0488 | 3.0817 | 1000 | 0.2638 | 10.8335 | 10.3623 |
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| 0.0294 | 3.8521 | 1250 | 0.2689 | 11.2821 | 10.7793 |
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| 0.012 | 4.6225 | 1500 | 0.2992 | 10.7269 | 10.2317 |
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### Framework versions
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- Transformers 4.44.2
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model.safetensors
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