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whisper-tiny-en-atc-thesis-2-no-lora
samuelashraff/whisper-tiny-en-atc-thesis-2-no-lora
whisper-tiny-en-atc-thesis-2-no-lora is a automatic speech recognition model from samuelashraff. 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
- Nov 26, 2024
- Updated
- Nov 26, 2024
- SHA
- 6cf446ae
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-tiny-en-atc-thesis-2-no-lora
This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7688
- Wer: 44.8980
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: 16
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 15000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4276 | 250.0 | 500 | 0.2941 | 22.4490 |
| 0.0001 | 500.0 | 1000 | 0.4339 | 24.4898 |
| 0.0 | 750.0 | 1500 | 0.5702 | 24.4898 |
| 0.0 | 1000.0 | 2000 | 0.7041 | 28.5714 |
| 0.0 | 1250.0 | 2500 | 0.7371 | 28.5714 |
| 0.0 | 1500.0 | 3000 | 0.8153 | 32.6531 |
| 0.0 | 1750.0 | 3500 | 0.8885 | 26.5306 |
| 0.0 | 2000.0 | 4000 | 0.9523 | 24.4898 |
| 0.0 | 2250.0 | 4500 | 0.9644 | 38.7755 |
| 0.0 | 2500.0 | 5000 | 1.0169 | 32.6531 |
| 0.0 | 2750.0 | 5500 | 1.0098 | 34.6939 |
| 0.0 | 3000.0 | 6000 | 1.0696 | 32.6531 |
| 0.0435 | 3250.0 | 6500 | 0.6549 | 26.5306 |
| 0.0 | 3500.0 | 7000 | 0.8819 | 28.5714 |
| 0.0 | 3750.0 | 7500 | 1.0423 | 30.6122 |
| 0.0 | 4000.0 | 8000 | 1.2150 | 32.6531 |
| 0.0 | 4250.0 | 8500 | 1.3003 | 32.6531 |
| 0.0 | 4500.0 | 9000 | 1.4076 | 36.7347 |
| 0.0 | 4750.0 | 9500 | 1.5208 | 38.7755 |
| 0.0 | 5000.0 | 10000 | 1.6303 | 38.7755 |
| 0.0 | 5250.0 | 10500 | 1.6312 | 38.7755 |
| 0.0 | 5500.0 | 11000 | 1.6982 | 38.7755 |
| 0.0 | 5750.0 | 11500 | 1.7714 | 42.8571 |
| 0.0 | 6000.0 | 12000 | 1.8436 | 42.8571 |
| 0.0 | 6250.0 | 12500 | 1.7950 | 44.8980 |
| 0.0 | 6500.0 | 13000 | 1.8284 | 44.8980 |
| 0.0 | 6750.0 | 13500 | 1.8639 | 44.8980 |
| 0.0 | 7000.0 | 14000 | 1.8944 | 44.8980 |
| 0.0 | 7250.0 | 14500 | 1.7909 | 44.8980 |
| 0.0 | 7500.0 | 15000 | 1.7688 | 44.8980 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Nov 26, 2024
- Updated
- Nov 26, 2024