|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: Kalbert |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# Kalbert |
|
|
|
This model is a fine-tuned version of [ai4bharat/indic-bert](https://huggingface.co/ai4bharat/indic-bert) on a kannada news dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.5324 |
|
|
|
## 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: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 1.5835 | 1.0 | 3953 | 1.7985 | |
|
| 1.6098 | 2.0 | 7906 | 1.7434 | |
|
| 1.5266 | 3.0 | 11859 | 1.6934 | |
|
| 1.5179 | 4.0 | 15812 | 1.6665 | |
|
| 1.5459 | 5.0 | 19765 | 1.6135 | |
|
| 1.5511 | 6.0 | 23718 | 1.6002 | |
|
| 1.5209 | 7.0 | 27671 | 1.5657 | |
|
| 1.5413 | 8.0 | 31624 | 1.5578 | |
|
| 1.4828 | 9.0 | 35577 | 1.5465 | |
|
| 1.4651 | 10.0 | 39530 | 1.5451 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.13.0+cu116 |
|
- Datasets 2.8.0 |
|
- Tokenizers 0.13.2 |
|
|
