metadata
library_name: transformers
license: mit
base_model: ai4bharat/IndicBERTv2-MLM-only
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
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: 2.7229
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.6857 | 1.0 | 12 | 1.3238 |
| 2.4386 | 2.0 | 24 | 3.6036 |
| 2.8204 | 3.0 | 36 | 4.2081 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0