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-test
  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-test

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: 0.4375
- Rouge1: 55.6701
- Rouge2: 45.6817
- Rougel: 52.259
- Rougelsum: 52.2632
- Gen Len: 494.295

## 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   | 100  | 0.4736          | 47.5356 | 37.7662 | 43.8872 | 43.933    | 493.725 |
| No log        | 2.0   | 200  | 0.4582          | 51.7559 | 41.8487 | 48.1235 | 48.1762   | 494.835 |
| No log        | 3.0   | 300  | 0.4469          | 52.8576 | 43.1039 | 49.3153 | 49.36     | 493.225 |
| No log        | 4.0   | 400  | 0.4395          | 55.4214 | 45.3968 | 51.8613 | 51.8725   | 492.5   |
| 0.5066        | 5.0   | 500  | 0.4375          | 55.6701 | 45.6817 | 52.259  | 52.2632   | 494.295 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
