---
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
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# 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