---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: rti-formatter
  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. -->

# rti-formatter

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0075

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0701        | 1.0   | 57   | 0.0314          |
| 0.0238        | 2.0   | 114  | 0.0156          |
| 0.0156        | 3.0   | 171  | 0.0108          |
| 0.0130        | 4.0   | 228  | 0.0107          |
| 0.0126        | 5.0   | 285  | 0.0089          |
| 0.0113        | 6.0   | 342  | 0.0082          |
| 0.0117        | 7.0   | 399  | 0.0089          |
| 0.0092        | 8.0   | 456  | 0.0078          |
| 0.0102        | 9.0   | 513  | 0.0074          |
| 0.0089        | 10.0  | 570  | 0.0075          |


### Framework versions

- Transformers 5.15.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2