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whisper-medium-aeb_ENT
Rziane/whisper-medium-aeb_ENT
whisper-medium-aeb_ENT is a automatic speech recognition model from Rziane. 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
- Oct 3, 2024
- Updated
- Oct 6, 2024
- SHA
- cb54854d
Base models
Datasets
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 AT
This model is a fine-tuned version of openai/whisper-medium on the AT_ENT dataset. It achieves the following results on the evaluation set:
- Loss: 1.2100
- Wer: 66.8297
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 111 | 1.0527 | 63.9374 |
| No log | 2.0 | 222 | 1.0961 | 65.8796 |
| No log | 3.0 | 333 | 1.1626 | 67.5283 |
| No log | 4.0 | 444 | 1.2100 | 66.8297 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- aeb
- Created
- Oct 3, 2024
- Updated
- Oct 6, 2024