Downloads · 30 days
8
17% of all-time downloads
w2v-bert-2.0-nepali-iteration-test
kiranpantha/w2v-bert-2.0-nepali-iteration-test
w2v-bert-2.0-nepali-iteration-test is a automatic speech recognition model from kiranpantha. 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
47
Public
Parameters
606M
17 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
- Sep 15, 2024
- Updated
- Sep 15, 2024
- SHA
- d03dd10c
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. -->
Wave2Vec2-Bert2.0 - Kiran Pantha
This model is a fine-tuned version of kiranpantha/w2v-bert-2.0-nepali on the OpenSLR54 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4058
- Wer: 0.4307
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.7246 | 0.15 | 300 | 0.5189 | 0.5402 |
| 0.6721 | 0.3 | 600 | 0.6084 | 0.5423 |
| 0.6956 | 0.45 | 900 | 0.5712 | 0.5412 |
| 0.6341 | 0.6 | 1200 | 0.4997 | 0.5105 |
| 0.6119 | 0.75 | 1500 | 0.5008 | 0.5148 |
| 0.564 | 0.9 | 1800 | 0.4627 | 0.4793 |
| 0.5416 | 1.05 | 2100 | 0.4767 | 0.4734 |
| 0.4569 | 1.2 | 2400 | 0.4754 | 0.4651 |
| 0.4768 | 1.35 | 2700 | 0.4420 | 0.4702 |
| 0.438 | 1.5 | 3000 | 0.4563 | 0.4614 |
| 0.4337 | 1.65 | 3300 | 0.4290 | 0.4543 |
| 0.447 | 1.8 | 3600 | 0.4081 | 0.4392 |
| 0.4108 | 1.95 | 3900 | 0.4058 | 0.4307 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2-bert
- License
- mit
- Languages
- ne
- Created
- Sep 15, 2024
- Updated
- Sep 15, 2024