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EDA_RD-Bahnar-Vie
FiveC/EDA_RD-Bahnar-Vie
EDA_RD-Bahnar-Vie is a machine learning model from FiveC. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Dec 31, 2025
- Updated
- Dec 31, 2025
- SHA
- d99b279a
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. -->
BartBana_EDA_RD
This model is a fine-tuned version of IAmSkyDra/BARTBana_v5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6170
- Sacrebleu: 3.8110
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| 0.4843 | 1.0 | 5685 | 0.6053 | 3.1758 |
| 0.4104 | 2.0 | 11370 | 0.6088 | 3.6427 |
| 0.375 | 3.0 | 17055 | 0.6170 | 3.8110 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.2
- Tokenizers 0.22.1
- Library
- transformers
- Type
- mbart
- License
- mit
- Created
- Dec 31, 2025
- Updated
- Dec 31, 2025