Downloads · 30 days
17
0% of all-time downloads
wav2vec2-Malayalam
Bluecast/wav2vec2-Malayalam
wav2vec2-Malayalam is a automatic speech recognition model from Bluecast. 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
6.6K
Public
Parameters
316M
1.3 GB on disk
Likes
2
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Apr 25, 2024
- Updated
- Apr 25, 2024
- SHA
- dcfd26c1
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. -->
wav2vec2-Malayalam
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7479
- Wer: 0.9088
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: 0.0003
- 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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 8.6036 | 1.5748 | 100 | 6.5081 | 1.0 |
| 3.5056 | 3.1496 | 200 | 3.5634 | 1.0 |
| 3.4952 | 4.7244 | 300 | 3.4927 | 1.0 |
| 3.3772 | 6.2992 | 400 | 3.3696 | 1.0 |
| 3.1849 | 7.8740 | 500 | 3.1735 | 1.0 |
| 1.3056 | 9.4488 | 600 | 1.2938 | 1.1167 |
| 0.8162 | 11.0236 | 700 | 0.8301 | 1.0190 |
| 0.6022 | 12.5984 | 800 | 0.7678 | 0.9929 |
| 0.454 | 14.1732 | 900 | 0.7514 | 0.9832 |
| 0.4104 | 15.7480 | 1000 | 0.7168 | 0.9452 |
| 0.3616 | 17.3228 | 1100 | 0.7297 | 0.9571 |
| 0.2951 | 18.8976 | 1200 | 0.6925 | 0.9555 |
| 0.2667 | 20.4724 | 1300 | 0.7254 | 0.9400 |
| 0.2707 | 22.0472 | 1400 | 0.7498 | 0.9101 |
| 0.2263 | 23.6220 | 1500 | 0.7093 | 0.9120 |
| 0.1933 | 25.1969 | 1600 | 0.7396 | 0.9091 |
| 0.2168 | 26.7717 | 1700 | 0.7417 | 0.9046 |
| 0.2112 | 28.3465 | 1800 | 0.7479 | 0.9088 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1.dev0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 25, 2024
- Updated
- Apr 25, 2024