Downloads · 30 days
10
36% of all-time downloads
w2v-bert-Marathi-large
Anujgr8/w2v-bert-Marathi-large
w2v-bert-Marathi-large is a automatic speech recognition model from Anujgr8. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
28
Public
Parameters
606M
24.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.4 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- mit
- Model type
- wav2vec2-bert
- Access
- Public
- Created
- Jun 8, 2024
- Updated
- Jun 8, 2024
- SHA
- b6af37d0
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. -->
w2v-bert-Marathi-large
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2714
- Wer: 0.1698
- Cer: 0.0531
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 2.8852 | 0.5882 | 300 | 0.7826 | 0.4911 | 0.1647 |
| 0.6243 | 1.1765 | 600 | 0.6280 | 0.3920 | 0.1351 |
| 0.4901 | 1.7647 | 900 | 0.4369 | 0.3101 | 0.0986 |
| 0.355 | 2.3529 | 1200 | 0.3922 | 0.2658 | 0.0849 |
| 0.2943 | 2.9412 | 1500 | 0.3400 | 0.2371 | 0.0753 |
| 0.2177 | 3.5294 | 1800 | 0.3041 | 0.2080 | 0.0646 |
| 0.1779 | 4.1176 | 2100 | 0.2906 | 0.1954 | 0.0608 |
| 0.1299 | 4.7059 | 2400 | 0.2904 | 0.1779 | 0.0560 |
| 0.0929 | 5.2941 | 2700 | 0.2885 | 0.1727 | 0.0537 |
| 0.0729 | 5.8824 | 3000 | 0.2714 | 0.1698 | 0.0531 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2-bert
- License
- mit
- Created
- Jun 8, 2024
- Updated
- Jun 8, 2024