---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-search-terms
  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-search-terms

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: 0.0077
- Rouge1: 5.2275
- Rouge2: 4.3657
- Rougel: 4.8365
- Rougelsum: 4.8414
- Gen Len: 8.819

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0301        | 1.0   | 1500 | 0.0188          | 6.3132 | 5.5233 | 5.9306 | 5.9285    | 4.9403  |
| 0.0167        | 2.0   | 3000 | 0.0118          | 5.6248 | 4.8018 | 5.2386 | 5.238     | 7.2617  |
| 0.0136        | 3.0   | 4500 | 0.0093          | 5.2543 | 4.4034 | 4.8643 | 4.8675    | 8.599   |
| 0.0114        | 4.0   | 6000 | 0.0080          | 5.3013 | 4.448  | 4.9117 | 4.9183    | 8.5447  |
| 0.0105        | 5.0   | 7500 | 0.0077          | 5.2275 | 4.3657 | 4.8365 | 4.8414    | 8.819   |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1