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easycall-whisper-lg-3-Nov3
sqrk/easycall-whisper-lg-3-Nov3
easycall-whisper-lg-3-Nov3 is a machine learning model from sqrk. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Nov 3, 2024
- Updated
- Nov 3, 2024
- SHA
- 7955068b
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. -->
easycall-whisper-lg-3-Nov3
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0614
- Wer: 8.1563
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
- gradient_accumulation_steps: 2
- 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
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.4391 | 0.0946 | 100 | 0.2666 | 33.1351 |
| 0.1608 | 0.1892 | 200 | 0.1262 | 17.0773 |
| 0.1116 | 0.2838 | 300 | 0.0969 | 12.4894 |
| 0.119 | 0.3784 | 400 | 0.1043 | 13.5939 |
| 0.0981 | 0.4730 | 500 | 0.0961 | 12.3619 |
| 0.0943 | 0.5676 | 600 | 0.0968 | 11.6822 |
| 0.087 | 0.6623 | 700 | 0.0886 | 11.5548 |
| 0.086 | 0.7569 | 800 | 0.0681 | 8.7935 |
| 0.0706 | 0.8515 | 900 | 0.0718 | 9.2608 |
| 0.067 | 0.9461 | 1000 | 0.0695 | 8.7935 |
| 0.0571 | 1.0407 | 1100 | 0.0682 | 8.3263 |
| 0.0596 | 1.1353 | 1200 | 0.0683 | 9.3883 |
| 0.0445 | 1.2299 | 1300 | 0.0677 | 8.0289 |
| 0.0577 | 1.3245 | 1400 | 0.0665 | 9.4308 |
| 0.0544 | 1.4191 | 1500 | 0.0633 | 8.5387 |
| 0.0491 | 1.5137 | 1600 | 0.0671 | 9.6856 |
| 0.0536 | 1.6083 | 1700 | 0.0617 | 8.6661 |
| 0.0406 | 1.7029 | 1800 | 0.0823 | 9.0059 |
| 0.0543 | 1.7975 | 1900 | 0.0614 | 8.1563 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.4.1
- Datasets 3.0.0
- Tokenizers 0.19.1
- Type
- whisper
- License
- apache-2.0
- Created
- Nov 3, 2024
- Updated
- Nov 3, 2024