transformers 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: repository_id
  results: []
---

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# repository_id

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: 1.7407
- Rouge1: 0.3886
- Rouge2: 0.1721
- Rougel: 0.2778
- Rougelsum: 0.2775
- Gen Len: 79.7623

## 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: 2e-05
- train_batch_size: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.9778        | 1.0   | 424  | 1.7454          | 0.3867 | 0.1701 | 0.2765 | 0.2764    | 78.7952 |
| 1.9569        | 2.0   | 848  | 1.7433          | 0.3896 | 0.1732 | 0.2781 | 0.278     | 80.2033 |
| 1.9548        | 3.0   | 1272 | 1.7400          | 0.3868 | 0.1708 | 0.2762 | 0.276     | 80.0837 |
| 1.9629        | 4.0   | 1696 | 1.7407          | 0.3886 | 0.1721 | 0.2778 | 0.2775    | 79.7623 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2
