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--- |
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library_name: peft |
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language: |
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- it |
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license: apache-2.0 |
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base_model: openai/whisper-medium |
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tags: |
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- generated_from_trainer |
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datasets: |
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- ASR_Synthetic_Speecht5_TTS |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Medium |
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results: |
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- task: |
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type: automatic-speech-recognition |
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name: Automatic Speech Recognition |
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dataset: |
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name: ASR_Synthetic_Speecht5_TTS |
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type: ASR_Synthetic_Speecht5_TTS |
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config: default |
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split: test |
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args: default |
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metrics: |
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- type: wer |
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value: 171.5307582260372 |
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name: Wer |
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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 Medium |
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the ASR_Synthetic_Speecht5_TTS dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9413 |
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- Wer: 171.5308 |
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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: 0.001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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: 50 |
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- training_steps: 200 |
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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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| 6.8678 | 0.0244 | 25 | 4.4434 | 154.2203 | |
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| 2.6877 | 0.0489 | 50 | 3.4026 | 144.0629 | |
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| 1.8792 | 0.0733 | 75 | 3.2962 | 77.3963 | |
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| 1.5587 | 0.0978 | 100 | 3.2969 | 78.9700 | |
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| 1.4194 | 0.1222 | 125 | 2.9920 | 75.1073 | |
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| 1.2356 | 0.1467 | 150 | 2.9471 | 184.2632 | |
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| 1.1741 | 0.1711 | 175 | 2.9542 | 189.4134 | |
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| 1.0451 | 0.1956 | 200 | 2.9413 | 171.5308 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.44.2 |
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- Pytorch 2.2.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
