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---
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
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