metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: Kalbert
results: []
Kalbert
This model is a fine-tuned version of ai4bharat/indic-bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7472
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: 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: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9853 | 1.0 | 3953 | 2.1213 |
| 1.933 | 2.0 | 7906 | 1.9938 |
| 1.8421 | 3.0 | 11859 | 1.9033 |
| 1.783 | 4.0 | 15812 | 1.8523 |
| 1.7702 | 5.0 | 19765 | 1.7833 |
| 1.7579 | 6.0 | 23718 | 1.7677 |
| 1.7167 | 7.0 | 27671 | 1.7393 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2