Downloads · 30 days
4
12% of all-time downloads
subh_w2v2_large_finetune_teacher_clean_mozilla_hours_50_epochs_batch_16
rohitp1/subh_w2v2_large_finetune_teacher_clean_mozilla_hours_50_epochs_batch_16
subh_w2v2_large_finetune_teacher_clean_mozilla_hours_50_epochs_batch_16 is a automatic speech recognition model from rohitp1. 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. --
All-time downloads
34
Public
Repo size
7.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.3 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- May 24, 2023
- Updated
- May 30, 2023
- SHA
- 2b583523
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. -->
dgx1_w2v2_large_finetune_teacher_clean_mozilla_hours_50_epochs_batch_16
This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 12.6398
- Wer: 0.1594
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-05
- train_batch_size: 16
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 4096
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 504.8802 | 8.78 | 150 | 14.7437 | 0.1802 |
| 308.4299 | 17.55 | 300 | 13.2490 | 0.1633 |
| 278.101 | 26.33 | 450 | 12.9519 | 0.1635 |
| 264.4989 | 35.11 | 600 | 12.7146 | 0.1609 |
| 257.3318 | 43.89 | 750 | 12.6398 | 0.1594 |
Framework versions
- Transformers 4.29.2
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 24, 2023
- Updated
- May 30, 2023