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IndicBARTSS_Telugu_FineTune
Fathima-Firose/IndicBARTSS_Telugu_FineTune
IndicBARTSS_Telugu_FineTune is a machine learning model from Fathima-Firose. 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
- Sep 26, 2024
- Updated
- Sep 26, 2024
- SHA
- 99dbfaaf
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. -->
IndicBARTSS_Telugu_FineTune
This model is a fine-tuned version of ai4bharat/IndicBARTSS on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1449
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.16 | 1.0 | 2396 | 0.1508 |
| 0.1473 | 2.0 | 4792 | 0.1452 |
| 0.1414 | 3.0 | 7188 | 0.1449 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- mbart
- Created
- Sep 26, 2024
- Updated
- Sep 26, 2024