---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mt5-eng2nep
  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. -->

# mt5-eng2nep

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1564

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.8723        | 0.26  | 500  | 2.9644          |
| 3.2224        | 0.53  | 1000 | 2.5132          |
| 2.9924        | 0.79  | 1500 | 2.3622          |
| 2.842         | 1.05  | 2000 | 2.2799          |
| 2.7975        | 1.32  | 2500 | 2.2186          |
| 2.7526        | 1.58  | 3000 | 2.1765          |
| 2.7554        | 1.84  | 3500 | 2.1564          |


### Framework versions

- Transformers 4.13.0
- Pytorch 1.11.0
- Datasets 1.16.1
- Tokenizers 0.10.3