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sew-timit-upsample_stage1
nh0znoisung/sew-timit-upsample_stage1
sew-timit-upsample_stage1 is a machine learning model from nh0znoisung. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- sew
- Access
- Public
- Created
- May 12, 2025
- Updated
- May 12, 2025
- SHA
- a3ab1a35
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. -->
sew-timit-upsample_stage1
This model is a fine-tuned version of asapp/sew-tiny-100k-ft-ls100h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9682
- Wer: 0.9880
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch 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
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 200.2864 | 1.2376 | 250 | 159.9157 | 1.0754 |
| 51.9265 | 2.4752 | 500 | 42.0889 | 1.0003 |
| 6.0049 | 3.7129 | 750 | 5.3474 | 0.9997 |
| 3.1387 | 4.9505 | 1000 | 3.1381 | 1.0 |
| 3.0981 | 6.1881 | 1250 | 3.0655 | 0.9993 |
| 3.0237 | 7.4257 | 1500 | 3.0381 | 0.9754 |
| 3.0058 | 8.6634 | 1750 | 2.9859 | 0.9877 |
| 2.9776 | 9.9010 | 2000 | 2.9682 | 0.9880 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.2.1
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- sew
- License
- apache-2.0
- Created
- May 12, 2025
- Updated
- May 12, 2025