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test
lw2333/test
test is a automatic speech recognition model from lw2333. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Nov 2, 2023
- Updated
- Nov 2, 2023
- SHA
- 8574f5f5
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. -->
model_20231101
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0472
- Wer: 285.6269
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 6000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1216 | 8.99 | 1000 | 1.0660 | 407.7217 |
| 0.0077 | 17.98 | 2000 | 1.0201 | 287.1560 |
| 0.0003 | 26.97 | 3000 | 1.0195 | 260.5505 |
| 0.0002 | 35.96 | 4000 | 1.0347 | 286.2385 |
| 0.0001 | 44.94 | 5000 | 1.0430 | 275.3058 |
| 0.0001 | 53.93 | 6000 | 1.0472 | 285.6269 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Created
- Nov 2, 2023
- Updated
- Nov 2, 2023