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abbenedekwhisper-base.en-finetuning2-D3K
abbenedek/abbenedekwhisper-base.en-finetuning2-D3K
abbenedekwhisper-base.en-finetuning2-D3K is a automatic speech recognition model from abbenedek. 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
- May 17, 2024
- Updated
- May 17, 2024
- SHA
- a5e92161
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. -->
abbenedekwhisper-base.en-finetuning2-D3K
This model is a fine-tuned version of openai/whisper-base.en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.7781
- Cer: 64.7190
- Wer: 119.5364
- Ser: 100.0
- Cer Clean: 3.5058
- Wer Clean: 6.2914
- Ser Clean: 7.0175
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: 5e-08
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer | Ser | Cer Clean | Wer Clean | Ser Clean |
|---|---|---|---|---|---|---|---|---|---|
| 7.5369 | 0.53 | 100 | 6.7220 | 63.7730 | 128.1457 | 100.0 | 4.1180 | 6.9536 | 8.7719 |
| 7.0363 | 1.06 | 200 | 6.1829 | 65.0529 | 123.8411 | 100.0 | 3.2832 | 5.6291 | 7.0175 |
| 6.417 | 1.6 | 300 | 5.7959 | 64.1625 | 121.1921 | 100.0 | 3.2832 | 5.6291 | 7.0175 |
| 6.0146 | 2.13 | 400 | 5.4587 | 64.7746 | 121.8543 | 100.0 | 3.6728 | 6.6225 | 7.8947 |
| 5.6687 | 2.66 | 500 | 5.2287 | 65.3311 | 120.5298 | 100.0 | 3.7284 | 6.6225 | 7.8947 |
| 5.3902 | 3.19 | 600 | 5.0691 | 65.1085 | 121.1921 | 100.0 | 3.5615 | 6.2914 | 7.0175 |
| 5.2512 | 3.72 | 700 | 4.9358 | 64.7190 | 120.1987 | 100.0 | 3.2832 | 5.9603 | 6.1404 |
| 5.1258 | 4.26 | 800 | 4.8451 | 64.7190 | 119.5364 | 100.0 | 3.5058 | 6.2914 | 7.0175 |
| 5.0472 | 4.79 | 900 | 4.7950 | 64.7190 | 119.5364 | 100.0 | 3.5058 | 6.2914 | 7.0175 |
| 4.9871 | 5.32 | 1000 | 4.7781 | 64.7190 | 119.5364 | 100.0 | 3.5058 | 6.2914 | 7.0175 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.14.5
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- May 17, 2024
- Updated
- May 17, 2024