---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-minhcrafters
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/minhcrafters/flan-t5-base-minhcrafters/runs/6nmusn5z)
# flan-t5-base-minhcrafters

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4349
- Rouge1: 36.349
- Rouge2: 8.7762
- Rougel: 36.3017
- Rougelsum: 36.3259
- Gen Len: 11.0354

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 1.5599        | 1.0   | 7225  | 1.4698          | 34.012  | 7.0902 | 33.9643 | 33.982    | 11.3958 |
| 1.4595        | 2.0   | 14450 | 1.4370          | 35.8141 | 7.8463 | 35.7691 | 35.7952   | 10.9503 |
| 1.3271        | 3.0   | 21675 | 1.4321          | 36.6633 | 8.272  | 36.6412 | 36.6552   | 10.8102 |
| 1.3405        | 4.0   | 28900 | 1.4289          | 35.6986 | 8.4622 | 35.6544 | 35.6839   | 11.2143 |
| 1.1667        | 5.0   | 36125 | 1.4349          | 36.349  | 8.7762 | 36.3017 | 36.3259   | 11.0354 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1