Downloads · 30 days
1
2% of all-time downloads
my_awesome_asr_mind_model
cdb-0/my_awesome_asr_mind_model
my_awesome_asr_mind_model is a automatic speech recognition model from cdb-0. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
<a href="https://huggingface.co/spaces/cdb-0/huggingface-static-a59499" target="blank"<img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio"…
All-time downloads
51
Public
Parameters
94.4M
755 MB 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
- May 16, 2026
- Updated
- May 16, 2026
- SHA
- 39f09479
Base models
Model card
From the Hugging Face model README
<a href="https://huggingface.co/spaces/cdb-0/huggingface-static-a59499" target="_blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a>
<!-- 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. -->my_awesome_asr_mind_model
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9195
- Wer: 1.0
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 23.2698 | 200.0 | 1000 | 2.9795 | 1.0 |
| 22.1086 | 400.0 | 2000 | 2.9195 | 1.0 |
Framework versions
- Transformers 5.8.1
- Pytorch 2.12.0+cu132
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 16, 2026
- Updated
- May 16, 2026