---
library_name: peft
license: apache-2.0
base_model: google-t5/t5-large
tags:
- generated_from_trainer
model-index:
- name: flan-t5-gen-retrieval-lora
  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. -->

# flan-t5-gen-retrieval-lora

This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8377

## 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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0087        | 0.0491 | 405  | 1.2918          |
| 1.0558        | 0.0497 | 410  | 1.2060          |
| 1.0558        | 0.0503 | 415  | 1.1487          |
| 0.8712        | 0.0509 | 420  | 1.1032          |
| 0.8712        | 0.0515 | 425  | 1.0525          |
| 0.7341        | 0.0521 | 430  | 1.0037          |
| 0.7341        | 0.0527 | 435  | 0.9570          |
| 0.7253        | 0.0533 | 440  | 0.9061          |
| 0.7253        | 0.0539 | 445  | 0.8771          |
| 0.6724        | 0.0545 | 450  | 0.8519          |
| 0.6724        | 0.0552 | 455  | 0.8448          |
| 0.6172        | 0.0558 | 460  | 0.8431          |
| 0.6172        | 0.0564 | 465  | 0.8414          |
| 0.6013        | 0.0570 | 470  | 0.8399          |
| 0.6013        | 0.0576 | 475  | 0.8391          |
| 0.5868        | 0.0582 | 480  | 0.8385          |
| 0.5868        | 0.0588 | 485  | 0.8383          |
| 0.6088        | 0.0594 | 490  | 0.8380          |
| 0.6088        | 0.06   | 495  | 0.8378          |
| 0.6092        | 0.0606 | 500  | 0.8377          |


### Framework versions

- PEFT 0.14.0
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1