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whisper-medium-it-2
EdoAbati/whisper-medium-it-2
whisper-medium-it-2 is a automatic speech recognition model from EdoAbati. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 19, 2022
- Updated
- Mar 2, 2025
- SHA
- 253cdbe2
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
Whisper Medium Italian
This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_11_0 it dataset. It achieves the following results on the evaluation set:
- Loss: 0.1456
- Wer: 5.4805
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1951 | 0.2 | 1000 | 0.1851 | 7.6268 |
| 0.1311 | 0.4 | 2000 | 0.1565 | 6.2885 |
| 0.0681 | 1.12 | 3000 | 0.1555 | 6.0394 |
| 0.067 | 1.32 | 4000 | 0.1470 | 5.6148 |
| 0.0336 | 2.05 | 5000 | 0.1456 | 5.4805 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- it
- Created
- Dec 19, 2022
- Updated
- Mar 2, 2025