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codemix-indicBART_L1_to_CM_candidates_acc4.9
prakod/codemix-indicBART_L1_to_CM_candidates_acc4.9
codemix-indicBART_L1_to_CM_candidates_acc4.9 is a machine learning model from prakod. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Jun 13, 2025
- Updated
- Jun 19, 2025
- SHA
- 27244f8f
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. -->
codemix-indicBART_L1_to_CM_candidates_acc4.9
This model is a fine-tuned version of ai4bharat/IndicBART on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.2571
- Bleu: 13.6301
- Gen Len: 21.0
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: 1e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 6.722 | 0.9985 | 501 | 5.7701 | 14.2555 | 21.0 |
| 5.8627 | 1.9985 | 1002 | 4.9943 | 13.4721 | 21.0 |
| 5.3333 | 2.9985 | 1503 | 4.5615 | 13.156 | 21.0 |
| 5.0259 | 3.9985 | 2004 | 4.3291 | 13.4825 | 21.0 |
| 4.8772 | 4.9985 | 2505 | 4.2571 | 13.6301 | 21.0 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- mbart
- Created
- Jun 13, 2025
- Updated
- Jun 19, 2025