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IndicBART_xlsum_mr_e7
AmaanDhamaskar/IndicBART_xlsum_mr_e7
IndicBART_xlsum_mr_e7 is a machine learning model from AmaanDhamaskar. 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
- Apr 7, 2025
- Updated
- Apr 7, 2025
- SHA
- 36815f79
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. -->
IndicBART_xlsum_mr_e7
This model is a fine-tuned version of AmaanDhamaskar/IndicBART-mr-test on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6918
- Rouge1: 4.3766
- Rouge2: 0.1468
- Rougel: 4.3829
- Rougelsum: 4.363
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: 5.6e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.0107 | 1.0 | 455 | 2.7100 | 4.5441 | 0.1468 | 4.5626 | 4.5203 |
| 2.9584 | 2.0 | 910 | 2.6976 | 4.3233 | 0.1346 | 4.3163 | 4.2576 |
| 2.9307 | 3.0 | 1365 | 2.6918 | 4.3766 | 0.1468 | 4.3829 | 4.363 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- mbart
- Created
- Apr 7, 2025
- Updated
- Apr 7, 2025