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daffa-ai-coder-multilang
sendaljepit/daffa-ai-coder-multilang
daffa-ai-coder-multilang is a machine learning model from sendaljepit. 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
- Sep 6, 2026
- Updated
- Sep 6, 2026
- SHA
- d7011b91
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. -->
daffa-ai-coder-multilang
This model is a fine-tuned version of Salesforce/codet5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3432
- Rouge1: 0.2895
- Rouge2: 0.1303
- Rougel: 0.2577
- Rougelsum: 0.2894
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: 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 0.9474 | 9 | 5.2760 | 0.0941 | 0.0081 | 0.083 | 0.0886 |
| 7.4467 | 2.0 | 19 | 3.7845 | 0.1181 | 0.0207 | 0.1061 | 0.1144 |
| 4.8513 | 2.9474 | 28 | 3.1986 | 0.1836 | 0.0273 | 0.1569 | 0.1769 |
| 3.9428 | 4.0 | 38 | 2.7966 | 0.1598 | 0.0323 | 0.1541 | 0.157 |
| 3.2332 | 4.9474 | 47 | 2.5789 | 0.1775 | 0.0659 | 0.1704 | 0.1758 |
| 2.9824 | 6.0 | 57 | 2.4343 | 0.2153 | 0.0868 | 0.2064 | 0.2142 |
| 2.7661 | 6.9474 | 66 | 2.3556 | 0.2678 | 0.1189 | 0.2583 | 0.2706 |
| 2.6326 | 7.5789 | 72 | 2.3432 | 0.2895 | 0.1303 | 0.2577 | 0.2894 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.20.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Sep 6, 2026
- Updated
- Sep 6, 2026