---
base_model: ai4bharat/IndicBART
tags:
- generated_from_trainer
model-index:
- name: angika-to-english-translation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# angika-to-english-translation

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: 6.8315

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 8.3922        | 0.9998 | 1281 | 7.8789          |
| 7.2908        | 1.9996 | 2562 | 7.0937          |
| 6.9378        | 2.9994 | 3843 | 6.8315          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1