---
license: apache-2.0
base_model: google/umt5-small
tags:
- generated_from_trainer
model-index:
- name: umt5-small-finetuned-umt5-poemV1
  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-small-finetuned-umt5-poemV1

This model is a fine-tuned version of [google/umt5-small](https://huggingface.co/google/umt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 282  | nan             |
| 0.0           | 2.0   | 564  | nan             |
| 0.0           | 3.0   | 846  | nan             |
| 0.0           | 4.0   | 1128 | nan             |
| 0.0           | 5.0   | 1410 | nan             |
| 0.0           | 6.0   | 1692 | nan             |
| 0.0           | 7.0   | 1974 | nan             |
| 0.0           | 8.0   | 2256 | nan             |
| 0.0           | 9.0   | 2538 | nan             |
| 0.0           | 10.0  | 2820 | nan             |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1