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fs-w-xavier-base
hiwden00/fs-w-xavier-base
fs-w-xavier-base is a automatic speech recognition model from hiwden00. 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 2, 2024
- Updated
- Oct 5, 2024
- SHA
- 19ecda3e
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. -->
fs-w-xavier-base
This model is a fine-tuned version of openai/whisper-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3940
- Wer: 97.2460
- Cer: 75.7386
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 3.7367 | 4.5872 | 500 | 3.7672 | 106.7426 | 75.6699 |
| 0.9212 | 9.1743 | 1000 | 1.1453 | 112.3457 | 89.8145 |
| 0.4126 | 13.7615 | 1500 | 0.6488 | 104.0361 | 81.1491 |
| 0.3365 | 18.3486 | 2000 | 0.5043 | 106.0304 | 81.9048 |
| 0.304 | 22.9358 | 2500 | 0.4632 | 109.7341 | 85.4174 |
| 0.2752 | 27.5229 | 3000 | 0.4296 | 103.2764 | 79.6633 |
| 0.2388 | 32.1101 | 3500 | 0.4201 | 101.7569 | 78.3494 |
| 0.218 | 36.6972 | 4000 | 0.4022 | 98.6705 | 76.3140 |
| 0.1995 | 41.2844 | 4500 | 0.3983 | 98.4330 | 76.5201 |
| 0.1743 | 45.8716 | 5000 | 0.3940 | 97.2460 | 75.7386 |
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
- Created
- Oct 2, 2024
- Updated
- Oct 5, 2024