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-it-small-multids-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: it
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split: test
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args: it
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metrics:
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- name: Wer
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type: wer
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value: 8.749734212204975
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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-it-small-multids-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: 0.1978
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- Wer: 8.7497
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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: 64
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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: 500
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- training_steps: 25000
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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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| 0.1927 | 1.0 | 2500 | 0.2506 | 14.9991 |
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| 0.0736 | 2.01 | 5000 | 0.2258 | 12.7864 |
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| 0.0413 | 3.01 | 7500 | 0.2144 | 11.4508 |
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| 0.0201 | 4.02 | 10000 | 0.2146 | 10.8774 |
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| 0.0129 | 5.02 | 12500 | 0.2127 | 10.6920 |
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| 0.0091 | 6.03 | 15000 | 0.2117 | 10.2867 |
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| 0.0043 | 7.03 | 17500 | 0.2076 | 9.6860 |
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| 0.0018 | 8.04 | 20000 | 0.2065 | 9.4235 |
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| 0.0013 | 9.04 | 22500 | 0.2003 | 8.9105 |
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| 0.0009 | 10.05 | 25000 | 0.1978 | 8.7497 |
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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
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- Tokenizers 0.13.2
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