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asr2_aug_IT_v4_full
miosipof/asr2_aug_IT_v4_full
asr2_aug_IT_v4_full is a automatic speech recognition model from miosipof. 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
- Apr 3, 2025
- Updated
- Apr 3, 2025
- SHA
- 8b73ac1a
Base models
Datasets
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 Medium IT
This model is a fine-tuned version of miosipof/asr2_aug_IT_v4_merged on the b-brave-balanced-augmented dataset. It achieves the following results on the evaluation set:
- Loss: 0.0005
- Wer: 0.0
- Cer: 0.0
- Lr: 0.0000
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: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use adamw_torch_4bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Lr |
|---|---|---|---|---|---|---|
| 1.1582 | 1.0 | 68 | 0.1790 | 24.6508 | 16.4515 | 0.0000 |
| 0.9748 | 2.0 | 136 | 0.1054 | 15.6943 | 10.5674 | 0.0000 |
| 0.5207 | 3.0 | 204 | 0.0574 | 10.3533 | 7.6854 | 0.0000 |
| 0.3516 | 4.0 | 272 | 0.0296 | 19.9671 | 18.2828 | 0.0000 |
| 0.2355 | 5.0 | 340 | 0.0113 | 2.3007 | 1.6361 | 0.0000 |
| 0.1018 | 6.0 | 408 | 0.0056 | 0.3287 | 0.2252 | 0.0000 |
| 0.0639 | 7.0 | 476 | 0.0037 | 0.1643 | 0.0600 | 0.0000 |
| 0.0443 | 8.0 | 544 | 0.0033 | 0.4108 | 0.2252 | 0.0000 |
| 0.015 | 9.0 | 612 | 0.0008 | 0.0 | 0.0 | 0.0000 |
| 0.0095 | 9.8625 | 670 | 0.0005 | 0.0 | 0.0 | 0.0000 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- Languages
- it
- Created
- Apr 3, 2025
- Updated
- Apr 3, 2025