indicbert-finetuned
This model is a fine-tuned version of ai4bharat/IndicBERTv2-MLM-only on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.99 | 1.0 | 16 | nan |
| 4.1848 | 2.0 | 32 | nan |
| 4.055 | 3.0 | 48 | nan |
| 3.9613 | 4.0 | 64 | nan |
| 3.9535 | 5.0 | 80 | nan |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0
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Model tree for Vishalathreya113/indicbert-finetuned
Base model
ai4bharat/IndicBERTv2-MLM-only