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whisper_final1
HariprasathSB/whisper_final1
whisper_final1 is a automatic speech recognition model from HariprasathSB. 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
- May 11, 2024
- Updated
- May 11, 2024
- SHA
- 5ef39a3b
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_final1
This model is a fine-tuned version of HariprasathSB/whisper_final on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9131
- Wer: 72.0667
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0014 | 0.8772 | 100 | 0.9335 | 72.4138 |
| 0.0096 | 1.7544 | 200 | 0.9558 | 72.6937 |
| 0.0075 | 2.6316 | 300 | 0.9131 | 72.0667 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Created
- May 11, 2024
- Updated
- May 11, 2024