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

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: 1.9282
- Rouge1: 0.4675
- Rouge2: 0.1579
- Rougel: 0.4313
- Bertscore: 0.8652
- Readability: 13.1666

## 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: 0.0001
- 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: 0.06
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Bertscore | Readability |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-----------:|
| 2.1647        | 1.0   | 3640  | 2.0145          | 0.4602 | 0.1545 | 0.4236 | 0.8626    | 13.5465     |
| 2.0892        | 2.0   | 7280  | 1.9591          | 0.4620 | 0.1549 | 0.4259 | 0.8636    | 13.3182     |
| 2.0151        | 3.0   | 10920 | 1.9376          | 0.4663 | 0.1571 | 0.4301 | 0.8648    | 13.2234     |
| 1.9793        | 4.0   | 14560 | 1.9282          | 0.4699 | 0.1599 | 0.4337 | 0.8656    | 13.1966     |
| 1.9679        | 5.0   | 18200 | 1.9269          | 0.4683 | 0.1583 | 0.4313 | 0.8653    | 13.2824     |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.2.1
- Datasets 2.19.0
- Tokenizers 0.15.2