| --- |
| library_name: transformers |
| base_model: ai4bharat/IndicBART |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: codemix-test |
| 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. --> |
|
|
| # codemix-test |
|
|
| 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: 3.5032 |
| - Bleu: 17.4363 |
| - Gen Len: 20.978 |
|
|
| ## 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: 1e-06 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | 5.8666 | 1.0 | 1004 | 4.9742 | 13.3823 | 21.0 | |
| | 4.8088 | 2.0 | 2008 | 4.0212 | 15.3375 | 21.0 | |
| | 4.2735 | 3.0 | 3012 | 3.6499 | 16.3145 | 21.0 | |
| | 4.0836 | 4.0 | 4016 | 3.5329 | 17.3835 | 20.996 | |
| | 4.0152 | 5.0 | 5020 | 3.5032 | 17.4363 | 20.978 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.52.4 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 2.14.4 |
| - Tokenizers 0.21.1 |
| |
