|
--- |
|
library_name: transformers |
|
base_model: ai4bharat/IndicBART |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: results |
|
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. --> |
|
|
|
# results |
|
|
|
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: 0.0863 |
|
- Wer: 0.4892 |
|
|
|
## 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: 64 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:------:|:-----:|:---------------:|:------:| |
|
| 1.4597 | 0.4504 | 4000 | 0.3822 | 0.6293 | |
|
| 0.3574 | 0.9008 | 8000 | 0.2432 | 0.5683 | |
|
| 0.252 | 1.3512 | 12000 | 0.1656 | 0.5286 | |
|
| 0.1921 | 1.8016 | 16000 | 0.1277 | 0.5102 | |
|
| 0.1583 | 2.2520 | 20000 | 0.1074 | 0.5010 | |
|
| 0.1383 | 2.7024 | 24000 | 0.0967 | 0.4937 | |
|
| 0.1266 | 3.1528 | 28000 | 0.0896 | 0.4904 | |
|
| 0.1199 | 3.6032 | 32000 | 0.0863 | 0.4892 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.45.2 |
|
- Pytorch 2.1.1+cu121 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.1 |
|
|
