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finetuned_glosslm_per_joint
Tsedeniya/finetuned_glosslm_per_joint
finetuned_glosslm_per_joint is a machine learning model from Tsedeniya. 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
- Oct 11, 2026
- Updated
- Oct 11, 2026
- SHA
- c9bc0010
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_per_joint
This model is a fine-tuned version of lecslab/glosslm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6510
- Chrf++: 23.1902
- Gen Len: 157.0
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: 4
- seed: 8715
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Chrf++ | Gen Len |
|---|---|---|---|---|---|
| 5.1659 | 1.9 | 38 | 1.0993 | 27.1373 | 216.6176 |
| 5.1659 | 3.8 | 76 | 1.1643 | 26.4592 | 214.5294 |
| 2.5243 | 5.7 | 114 | 1.2889 | 22.9631 | 161.3824 |
| 2.5243 | 7.6 | 152 | 1.3879 | 22.5735 | 165.5294 |
| 2.5243 | 9.5 | 190 | 1.4742 | 23.4053 | 164.0882 |
| 0.2378 | 11.4 | 228 | 1.5548 | 22.8716 | 158.3235 |
| 0.2378 | 13.3 | 266 | 1.6510 | 23.1902 | 157.0 |
Framework versions
- Transformers 5.5.0
- Pytorch 2.12.1+cu130
- Datasets 4.3.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Oct 11, 2026
- Updated
- Oct 11, 2026