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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flan-t5-small

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3909
- Rouge1: 43.9584
- Rouge2: 34.6235
- Rougel: 42.6933
- Rougelsum: 42.1079
- Gen Len: 19.0

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 22   | 2.4403          | 25.3933 | 13.7472 | 24.1753 | 25.139    | 18.6279 |
| No log        | 2.0   | 44   | 1.7941          | 44.8683 | 34.5587 | 43.0041 | 42.8714   | 19.0    |
| No log        | 3.0   | 66   | 1.5390          | 43.9584 | 34.6235 | 42.6933 | 42.1079   | 19.0    |
| No log        | 4.0   | 88   | 1.4240          | 43.9584 | 34.6235 | 42.6933 | 42.1079   | 19.0    |
| No log        | 5.0   | 110  | 1.3909          | 43.9584 | 34.6235 | 42.6933 | 42.1079   | 19.0    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
