Downloads · 30 days
16
42% of all-time downloads
w2v2-base-pretrained_lr1e-4_at0.3_da1
MelanieKoe/w2v2-base-pretrained_lr1e-4_at0.3_da1
w2v2-base-pretrained_lr1e-4_at0.3_da1 is a automatic speech recognition model from MelanieKoe. 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
38
Public
Parameters
94.4M
5.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors378 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Mar 21, 2024
- Updated
- Mar 23, 2024
- SHA
- 7c8b8ffb
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. -->
w2v2-base-pretrained_lr1e-4_at0.3_da1
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.0832
- Wer: 1.0503
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: 0.0001
- train_batch_size: 32
- 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: 1000
- num_epochs: 60
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 18.217 | 3.97 | 250 | 4.5592 | 1.0 |
| 3.272 | 7.94 | 500 | 3.7936 | 1.0 |
| 2.4362 | 11.9 | 750 | 2.3296 | 1.0085 |
| 0.4638 | 15.87 | 1000 | 3.0200 | 1.0264 |
| 0.2526 | 19.84 | 1250 | 3.8211 | 1.0558 |
| 0.1458 | 23.81 | 1500 | 4.3826 | 1.0439 |
| 0.0912 | 27.78 | 1750 | 4.6974 | 1.0401 |
| 0.0637 | 31.75 | 2000 | 5.7380 | 1.0469 |
| 0.0492 | 35.71 | 2250 | 5.6284 | 1.0520 |
| 0.0413 | 39.68 | 2500 | 5.8445 | 1.0362 |
| 0.031 | 43.65 | 2750 | 5.8013 | 1.0473 |
| 0.0248 | 47.62 | 3000 | 6.1615 | 1.0456 |
| 0.0228 | 51.59 | 3250 | 5.9906 | 1.0439 |
| 0.016 | 55.56 | 3500 | 6.1408 | 1.0494 |
| 0.0159 | 59.52 | 3750 | 6.0832 | 1.0503 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Mar 21, 2024
- Updated
- Mar 23, 2024