---
base_model: google/umt5-base
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: umt5-base-quechua-espanol-finetuned-model-v2
  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. -->

# umt5-base-quechua-espanol-finetuned-model-v2

This model is a fine-tuned version of [google/umt5-base](https://huggingface.co/google/umt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4914

## 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: 0.0002
- train_batch_size: 22
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.0956        | 0.2259 | 1000 | 2.5133          |
| 2.5227        | 0.4518 | 2000 | 2.1119          |
| 2.2631        | 0.6777 | 3000 | 1.8845          |
| 2.0653        | 0.9035 | 4000 | 1.7568          |
| 1.899         | 1.1294 | 5000 | 1.6684          |
| 1.8405        | 1.3553 | 6000 | 1.5924          |
| 1.7622        | 1.5812 | 7000 | 1.5415          |
| 1.7167        | 1.8071 | 8000 | 1.4914          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1