---
library_name: transformers
license: apache-2.0
base_model: ltg/nort5-small
tags:
- generated_from_trainer
model-index:
- name: ltg_nort5-small
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ltg_nort5-small

This model is a fine-tuned version of [ltg/nort5-small](https://huggingface.co/ltg/nort5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1547

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.2369        | 0.1953 | 100  | 1.2205          |
| 0.2076        | 0.3906 | 200  | 0.2093          |
| 0.1799        | 0.5859 | 300  | 0.1618          |
| 0.1533        | 0.7812 | 400  | 0.1547          |
| 0.1322        | 0.9766 | 500  | 0.1686          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.7.0+cu118
- Datasets 3.5.1
- Tokenizers 0.21.1