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hd-0.2-model
anvitamanne/hd-0.2-model
hd-0.2-model is a machine learning model from anvitamanne. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jun 21, 2025
- Updated
- Jun 25, 2025
- SHA
- b7738693
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. -->
hd-0.2-model
This model is a fine-tuned version of anvitamanne/base-model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 545.6776
- Wer: 0.3934
- Cer: 0.1653
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 326.2242 | 0.86 | 1000 | 493.4137 | 0.3996 | 0.1642 |
| 310.8459 | 1.72 | 2000 | 511.3396 | 0.4079 | 0.1657 |
| 313.6741 | 2.58 | 3000 | 487.3476 | 0.3989 | 0.1634 |
| 307.0468 | 3.44 | 4000 | 493.8859 | 0.3970 | 0.1644 |
| 306.6389 | 4.3 | 5000 | 518.9114 | 0.4146 | 0.1702 |
| 322.4012 | 5.17 | 6000 | 507.5997 | 0.3936 | 0.1632 |
| 310.2188 | 6.03 | 7000 | 493.5461 | 0.3967 | 0.1640 |
| 311.2426 | 6.89 | 8000 | 504.9644 | 0.3973 | 0.1645 |
| 305.9267 | 7.75 | 9000 | 509.5207 | 0.3924 | 0.1630 |
| 285.1184 | 8.61 | 10000 | 526.2730 | 0.3976 | 0.1651 |
| 281.5382 | 9.47 | 11000 | 512.3894 | 0.3921 | 0.1636 |
| 291.3399 | 10.33 | 12000 | 529.6555 | 0.3951 | 0.1657 |
| 297.8667 | 11.19 | 13000 | 529.5459 | 0.3925 | 0.1640 |
| 294.463 | 12.05 | 14000 | 528.7574 | 0.3933 | 0.1640 |
| 282.9003 | 12.91 | 15000 | 536.5745 | 0.3905 | 0.1645 |
| 275.5425 | 13.78 | 16000 | 546.1980 | 0.3914 | 0.1648 |
| 273.5143 | 14.64 | 17000 | 545.6776 | 0.3934 | 0.1653 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.7.1+cu118
- Datasets 3.6.0
- Tokenizers 0.15.2
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jun 21, 2025
- Updated
- Jun 25, 2025