metadata
library_name: transformers
base_model: ai4bharat/IndicBART
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: results
results: []
results
This model is a fine-tuned version of 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