---
base_model: google/umt5-base
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: umt5-base-quechua-espanol-finetuned-model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# umt5-base-quechua-espanol-finetuned-model

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: 1.7343

## 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: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.1343        | 0.1581 | 700  | 2.7338          |
| 3.0956        | 0.3162 | 1400 | 2.3095          |
| 2.5227        | 0.4744 | 2100 | 2.0817          |
| 2.3735        | 0.6325 | 2800 | 1.9237          |
| 2.1474        | 0.7906 | 3500 | 1.8187          |
| 2.0653        | 0.9487 | 4200 | 1.7343          |


### Framework versions

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