Downloads · 30 days
7
2% of all-time downloads
training_45k
Sameen53/training_45k
training_45k is a automatic speech recognition model from Sameen53. 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. --
All-time downloads
389
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
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 18, 2022
- Updated
- Aug 17, 2023
- SHA
- c139a9f9
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. -->
training_45k
This model is a fine-tuned version of Sameen53/cv_bn_bestModel_1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.1497
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-07
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2549 | 1.25 | 1500 | inf | 0.1495 |
| 0.2482 | 2.51 | 3000 | inf | 0.1496 |
| 0.2504 | 3.76 | 4500 | inf | 0.1498 |
| 0.2479 | 5.02 | 6000 | inf | 0.1495 |
| 0.2493 | 6.27 | 7500 | inf | 0.1497 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- Aug 18, 2022
- Updated
- Aug 17, 2023