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byt5-gujarati-conti
ArchishSkyllect/byt5-gujarati-conti
byt5-gujarati-conti is a machine learning model from ArchishSkyllect. 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 peft. 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
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 21, 2026
- Updated
- Jan 22, 2026
- SHA
- df4ffc64
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. -->
byt5-gujarati-conti
This model is a fine-tuned version of google/byt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6915
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9119 | 0.3232 | 500 | 0.7211 |
| 0.9128 | 0.6464 | 1000 | 0.7149 |
| 0.899 | 0.9696 | 1500 | 0.7059 |
| 0.8819 | 1.2928 | 2000 | 0.7051 |
| 0.8823 | 1.6160 | 2500 | 0.6976 |
| 0.8714 | 1.9392 | 3000 | 0.6957 |
| 0.8634 | 2.2624 | 3500 | 0.6942 |
| 0.8662 | 2.5856 | 4000 | 0.6925 |
| 0.8685 | 2.9089 | 4500 | 0.6915 |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.2
- Tokenizers 0.22.1
- Library
- peft
- License
- apache-2.0
- Created
- Jan 21, 2026
- Updated
- Jan 22, 2026