---
base_model: ai4bharat/IndicBART
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_awesome_english_to_nepali_tst
  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. -->

# my_awesome_english_to_nepali_tst

This model is a fine-tuned version of [ai4bharat/IndicBART](https://huggingface.co/ai4bharat/IndicBART) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.0
- Gen Len: 2.0

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 32   | 10.9086         | 1.3699 | 20.0    |
| No log        | 2.0   | 64   | 10.4023         | 1.7857 | 20.0    |
| No log        | 3.0   | 96   | 10.2752         | 1.7702 | 20.0    |
| No log        | 4.0   | 128  | 10.2502         | 1.7664 | 20.0    |
| No log        | 5.0   | 160  | 10.2474         | 1.7664 | 20.0    |
| No log        | 6.0   | 192  | 10.2469         | 1.7664 | 20.0    |
| No log        | 7.0   | 224  | 10.2469         | 1.7664 | 20.0    |
| No log        | 8.0   | 256  | 10.2468         | 1.7664 | 20.0    |
| No log        | 9.0   | 288  | 10.2469         | 1.7664 | 20.0    |
| No log        | 10.0  | 320  | nan             | 0.0    | 2.0     |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2