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codemix-indicBART_L1_to_CM_candidates_acc4.5
prakod/codemix-indicBART_L1_to_CM_candidates_acc4.5
codemix-indicBART_L1_to_CM_candidates_acc4.5 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 11, 2025
- Updated
- Jun 12, 2025
- SHA
- f90ff7ca
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_acc4.5
This model is a fine-tuned version of ai4bharat/IndicBART on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0060
- Bleu: 14.4064
- 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: 2e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- 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 |
|---|---|---|---|---|---|
| 1.4081 | 1.0 | 14143 | 1.1138 | 14.265 | 21.0 |
| 1.2748 | 2.0 | 28286 | 1.0504 | 13.9274 | 21.0 |
| 1.2192 | 3.0 | 42429 | 1.0240 | 14.2365 | 21.0 |
| 1.1816 | 4.0 | 56572 | 1.0088 | 14.3107 | 21.0 |
| 1.1768 | 4.9997 | 70710 | 1.0060 | 14.4064 | 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 11, 2025
- Updated
- Jun 12, 2025