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finetuned_glosslm_ain_translit
lowresource-igt/finetuned_glosslm_ain_translit
finetuned_glosslm_ain_translit is a machine learning model from lowresource-igt. 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
- t5
- Access
- Public
- Created
- Jul 11, 2026
- Updated
- Jul 11, 2026
- SHA
- a05e5fb5
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. -->
finetuned_glosslm_ain_translit
This model is a fine-tuned version of lecslab/glosslm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2502
- Chrf++: 78.5301
- Gen Len: 36.5459
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: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf++ | Gen Len |
|---|---|---|---|---|---|
| 2.7728 | 1.9941 | 420 | 0.3996 | 60.1882 | 36.9771 |
| 1.0224 | 3.9845 | 840 | 0.2015 | 75.4291 | 37.9679 |
| 0.4642 | 5.9750 | 1260 | 0.1803 | 78.566 | 37.1743 |
| 0.2668 | 7.9655 | 1680 | 0.1931 | 80.9003 | 37.4128 |
| 0.2065 | 9.9560 | 2100 | 0.1993 | 81.1345 | 37.156 |
| 0.1621 | 11.9465 | 2520 | 0.2252 | 80.5573 | 36.8807 |
| 0.1378 | 13.9370 | 2940 | 0.2511 | 77.04 | 42.633 |
| 0.1242 | 15.9275 | 3360 | 0.2502 | 78.5301 | 36.5459 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.6.0+cu124
- Datasets 5.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jul 11, 2026
- Updated
- Jul 11, 2026