Moreno La Quatra
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update model card README.md
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README.md
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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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datasets:
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- common_voice_11_0
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metrics:
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- wer
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model-index:
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- name: whisper-hu-small-augmented
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: common_voice_11_0
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type: common_voice_11_0
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config: hu
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split: test
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args: hu
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metrics:
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- name: Wer
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type: wer
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value: 31.12362881707679
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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-hu-small-augmented
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5292
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- Wer: 31.1236
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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: 5e-05
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- train_batch_size: 128
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- eval_batch_size: 64
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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: 500
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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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| 0.0763 | 7.46 | 500 | 0.5268 | 40.5099 |
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| 0.0147 | 14.93 | 1000 | 0.5233 | 36.1429 |
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| 0.0064 | 22.39 | 1500 | 0.5467 | 35.0934 |
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| 0.0045 | 29.85 | 2000 | 0.5434 | 34.2929 |
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| 0.0019 | 37.31 | 2500 | 0.5348 | 32.7868 |
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| 0.0008 | 44.78 | 3000 | 0.5314 | 32.0605 |
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| 0.0008 | 52.24 | 3500 | 0.5438 | 32.6920 |
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| 0.0005 | 59.7 | 4000 | 0.5428 | 32.0931 |
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| 0.0003 | 67.16 | 4500 | 0.5328 | 31.2511 |
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| 0.0004 | 74.63 | 5000 | 0.5292 | 31.1236 |
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### Framework versions
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- Transformers 4.26.0.dev0
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.1.dev0
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- Tokenizers 0.13.2
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