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whisper-large-v2-atcosim_corpus
daisyyedda/whisper-large-v2-atcosim_corpus
whisper-large-v2-atcosim_corpus is a automatic speech recognition model from daisyyedda. 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
- May 20, 2024
- Updated
- Dec 3, 2025
- SHA
- faf4db23
Base models
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-large-v2-atcosim_corpus
This model is a fine-tuned version of openai/whisper-large-v2 on the atcosim_corpus dataset. It achieves the following results on the evaluation set:
- Loss: 0.1606
- Wer: 4.6858
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: 32
- eval_batch_size: 8
- 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: 250
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0011 | 19.2308 | 250 | 0.1478 | 4.8988 |
| 0.0001 | 38.4615 | 500 | 0.1606 | 4.6858 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- May 20, 2024
- Updated
- Dec 3, 2025