Downloads · 30 days
3
21% of all-time downloads
model_optimization
jadorantes2/model_optimization
model_optimization is a machine learning model from jadorantes2. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
All-time downloads
14
Public
Parameters
94.4M
3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors378 MB · 100%
At a glance
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 11, 2024
- Updated
- Aug 20, 2024
- SHA
- d90c3741
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. -->
model_optimization
This model was trained from scratch on the ami dataset. It achieves the following results on the evaluation set:
- Loss: 2.0220
- Wer: 0.2460
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.2804 | 50.0 | 250 | 1.8094 | 0.3636 |
| 0.637 | 100.0 | 500 | 2.6436 | 0.3155 |
| 0.4223 | 150.0 | 750 | 1.6623 | 0.2406 |
| 0.3273 | 200.0 | 1000 | 2.0220 | 0.2460 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- wav2vec2
- Created
- Aug 11, 2024
- Updated
- Aug 20, 2024