|
--- |
|
base_model: ai4bharat/IndicBART |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: wsdbanglat5_2e4_IndicBART |
|
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. --> |
|
|
|
# wsdbanglat5_2e4_IndicBART |
|
|
|
This model is a fine-tuned version of [ai4bharat/IndicBART](https://huggingface.co/ai4bharat/IndicBART) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0112 |
|
|
|
## 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: 0.0002 |
|
- 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 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 0.0392 | 1.0 | 1481 | 0.0291 | |
|
| 0.023 | 2.0 | 2962 | 0.0183 | |
|
| 0.0191 | 3.0 | 4443 | 0.0180 | |
|
| 0.0146 | 4.0 | 5924 | 0.0137 | |
|
| 0.0146 | 5.0 | 7405 | 0.0128 | |
|
| 0.0121 | 6.0 | 8886 | 0.0123 | |
|
| 0.0122 | 7.0 | 10367 | 0.0118 | |
|
| 0.012 | 8.0 | 11848 | 0.0117 | |
|
| 0.0112 | 9.0 | 13329 | 0.0114 | |
|
| 0.0116 | 10.0 | 14810 | 0.0112 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
|
|
