---
license: apache-2.0
base_model: t5-small
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 [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7758
- Bleu: 4.076
- Gen Len: 17.595

## 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   | 1.8790          | 3.86   | 17.665  |
| No log        | 2.0   | 64   | 1.8311          | 4.0878 | 17.645  |
| No log        | 3.0   | 96   | 1.8105          | 4.0976 | 17.615  |
| No log        | 4.0   | 128  | 1.7988          | 4.1081 | 17.615  |
| No log        | 5.0   | 160  | 1.7911          | 4.057  | 17.625  |
| No log        | 6.0   | 192  | 1.7854          | 4.0552 | 17.61   |
| No log        | 7.0   | 224  | 1.7812          | 4.0714 | 17.61   |
| No log        | 8.0   | 256  | 1.7780          | 4.085  | 17.595  |
| No log        | 9.0   | 288  | 1.7764          | 4.076  | 17.595  |
| No log        | 10.0  | 320  | 1.7758          | 4.076  | 17.595  |


### Framework versions

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