---
library_name: transformers
base_model: ai4bharat/IndicBART
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: codemix-indicBART_L1_to_CM_candidates_acc4.7
  results: []
---

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# codemix-indicBART_L1_to_CM_candidates_acc4.7

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: 2.2986
- Bleu: 11.9231
- Gen Len: 21.0

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:------:|:-----:|:---------------:|:-------:|:-------:|
| 3.7106        | 1.0    | 7546  | 3.3985          | 13.2137 | 21.0    |
| 3.2584        | 2.0    | 15092 | 2.8989          | 12.9778 | 20.992  |
| 2.9447        | 3.0    | 22638 | 2.5509          | 14.0866 | 21.0    |
| 2.7786        | 4.0    | 30184 | 2.3583          | 12.4674 | 21.0    |
| 2.7111        | 4.9994 | 37725 | 2.2986          | 11.9231 | 21.0    |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1