---
library_name: peft
license: apache-2.0
base_model: google/flan-t5-small
tags:
- base_model:adapter:google/flan-t5-small
- lora
- transformers
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4509

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.8302        | 1.0   | 261  | 7.9282          |
| 4.6754        | 2.0   | 522  | 4.7825          |
| 2.2132        | 3.0   | 783  | 2.7961          |
| 0.7958        | 4.0   | 1044 | 1.0468          |
| 0.8819        | 5.0   | 1305 | 0.5291          |
| 0.3865        | 6.0   | 1566 | 0.4509          |


### Framework versions

- PEFT 0.17.1
- Transformers 4.55.4
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4