---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-query-expansion-merged
  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-small-query-expansion-merged

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: 0.0729
- Rouge1: 88.0902
- Rouge2: 86.3492
- Rougel: 87.7337
- Rougelsum: 87.9824
- Gen Len: 18.3077

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.6406        | 1.0   | 3377  | 0.6768          | 63.9968 | 45.7612 | 57.8086 | 61.5311   | 18.3873 |
| 0.7793        | 2.0   | 6754  | 0.5605          | 67.0163 | 49.7255 | 61.2364 | 64.6925   | 18.3231 |
| 1.0244        | 3.0   | 10131 | 0.4842          | 67.8219 | 51.5119 | 62.3029 | 65.6804   | 18.2080 |
| 0.5659        | 4.0   | 13508 | 0.4397          | 69.1529 | 53.8002 | 64.4153 | 67.2391   | 18.3712 |
| 0.7296        | 5.0   | 16885 | 0.3969          | 70.5914 | 56.0644 | 66.0627 | 68.576    | 18.1605 |
| 0.7259        | 6.0   | 20262 | 0.3626          | 70.8523 | 56.4451 | 66.252  | 69.1099   | 18.3231 |
| 0.6528        | 7.0   | 23639 | 0.3237          | 73.073  | 59.6605 | 68.7564 | 71.3906   | 18.2966 |
| 0.5374        | 8.0   | 27016 | 0.2677          | 74.5797 | 62.7906 | 70.8802 | 73.0946   | 18.2812 |
| 0.3949        | 9.0   | 30393 | 0.2195          | 77.0612 | 66.8027 | 73.9263 | 75.8907   | 18.2763 |
| 0.3018        | 10.0  | 33770 | 0.1636          | 79.9678 | 71.998  | 77.5129 | 78.9566   | 18.2394 |
| 0.2242        | 11.0  | 37147 | 0.1276          | 82.9401 | 77.1969 | 81.2458 | 82.3421   | 18.2924 |
| 0.1141        | 12.0  | 40524 | 0.0940          | 85.6963 | 81.8712 | 84.6628 | 85.3014   | 18.3105 |
| 0.087         | 13.0  | 43901 | 0.0816          | 86.9817 | 84.3464 | 86.2565 | 86.7104   | 18.3070 |
| 0.0375        | 14.0  | 47278 | 0.0739          | 87.9019 | 85.9691 | 87.4218 | 87.7412   | 18.3022 |
| 0.0356        | 15.0  | 50655 | 0.0726          | 88.0522 | 86.2944 | 87.6779 | 87.9371   | 18.3015 |
| 0.0302        | 16.0  | 54032 | 0.0729          | 88.0902 | 86.3492 | 87.7337 | 87.9824   | 18.3077 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2