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finetune_teacher_babble_noise_mozilla_200_epochs
rohitp1/finetune_teacher_babble_noise_mozilla_200_epochs
finetune_teacher_babble_noise_mozilla_200_epochs is a automatic speech recognition model from rohitp1. 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
- wav2vec2
- Access
- Public
- Created
- Feb 17, 2023
- Updated
- Feb 28, 2023
- SHA
- c60ab2ff
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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. -->
finetune_teacher_babble_noise_mozilla_200_epochs
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 71.8264
- Wer: 0.3574
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 149.8494 | 14.7 | 1000 | 41.8514 | 0.3998 |
| 101.5704 | 29.41 | 2000 | 41.9244 | 0.3942 |
| 87.7921 | 44.12 | 3000 | 44.8273 | 0.4013 |
| 74.0441 | 58.82 | 4000 | 48.9263 | 0.3976 |
| 61.9751 | 73.53 | 5000 | 48.6313 | 0.3950 |
| 51.4311 | 88.23 | 6000 | 52.6974 | 0.3915 |
| 42.7197 | 102.94 | 7000 | 51.2589 | 0.3862 |
| 35.5205 | 117.64 | 8000 | 57.6496 | 0.3841 |
| 29.2148 | 132.35 | 9000 | 64.6558 | 0.3745 |
| 24.4399 | 147.06 | 10000 | 62.6512 | 0.3692 |
| 20.5101 | 161.76 | 11000 | 67.4978 | 0.3625 |
| 18.0444 | 176.47 | 12000 | 72.0740 | 0.3584 |
| 16.681 | 191.18 | 13000 | 71.8264 | 0.3574 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.11.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- Feb 17, 2023
- Updated
- Feb 28, 2023