transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ro-text-db1
  results: []
---

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# ro-text-db1

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: 0.2447
- Rouge1: 65.3337
- Rouge2: 60.093
- Rougel: 65.2916
- Rougelsum: 65.2755
- Gen Len: 18.1785

## 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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.3924        | 1.0   | 7804  | 0.2913          | 64.4487 | 58.6912 | 64.3926 | 64.3757   | 18.1821 |
| 0.2927        | 2.0   | 15608 | 0.2504          | 65.1239 | 59.784  | 65.0714 | 65.0488   | 18.1818 |
| 0.2666        | 3.0   | 23412 | 0.2447          | 65.3337 | 60.093  | 65.2916 | 65.2755   | 18.1785 |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
