---
license: apache-2.0
base_model: rujengelal/nepali_t5
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nepali_t5
  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. -->

# nepali_t5

This model is a fine-tuned version of [rujengelal/nepali_t5](https://huggingface.co/rujengelal/nepali_t5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6633
- Bleu: 6.3134
- Gen Len: 15.9835

## 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
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
| 3.0928        | 1.0   | 17734  | 2.8330          | 5.4935 | 15.9053 |
| 3.101         | 2.0   | 35468  | 2.8127          | 5.5409 | 15.8787 |
| 3.0165        | 3.0   | 53202  | 2.7814          | 5.6622 | 15.9238 |
| 2.9973        | 4.0   | 70936  | 2.7532          | 5.8108 | 15.8996 |
| 2.8885        | 5.0   | 88670  | 2.7294          | 5.9077 | 15.8805 |
| 2.8114        | 6.0   | 106404 | 2.7074          | 6.1401 | 15.9749 |
| 2.7791        | 7.0   | 124138 | 2.6905          | 6.1567 | 15.9531 |
| 2.7729        | 8.0   | 141872 | 2.6782          | 6.1865 | 15.9688 |
| 2.7128        | 9.0   | 159606 | 2.6699          | 6.2233 | 16.063  |
| 2.7398        | 10.0  | 177340 | 2.6633          | 6.3134 | 15.9835 |


### Framework versions

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