---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mitigation_recommender_flanT5base
  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. -->

# mitigation_recommender_flanT5base

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9726
- Rouge1: 0.3336
- Rouge2: 0.1351
- Rougel: 0.2764
- Rougelsum: 0.2798

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 14   | 3.1216          | 0.3261 | 0.1277 | 0.2796 | 0.2869    |
| No log        | 2.0   | 28   | 2.9726          | 0.3336 | 0.1351 | 0.2764 | 0.2798    |
| No log        | 3.0   | 42   | 3.0057          | 0.3550 | 0.1551 | 0.2937 | 0.3017    |
| No log        | 4.0   | 56   | 3.1233          | 0.3455 | 0.1439 | 0.2865 | 0.2946    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1