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-asap_t3_f3_prompt_adherence
  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-asap_t3_f3_prompt_adherence

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0646
- Rouge1: 81.612
- Rouge2: 76.5567
- Rougel: 81.6114
- Rougelsum: 81.6406
- Gen Len: 12.0551

## 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   | 259  | 0.0792          | 80.0007 | 74.6342 | 79.9732 | 79.9587   | 12.0304 |
| 0.4002        | 2.0   | 518  | 0.0635          | 81.5641 | 76.5846 | 81.5448 | 81.5698   | 12.0551 |
| 0.4002        | 3.0   | 777  | 0.0609          | 82.0909 | 77.2267 | 82.0977 | 82.1122   | 12.0551 |
| 0.0715        | 4.0   | 1036 | 0.0658          | 81.5591 | 76.4851 | 81.552  | 81.5761   | 12.0580 |
| 0.0715        | 5.0   | 1295 | 0.0646          | 81.612  | 76.5567 | 81.6114 | 81.6406   | 12.0551 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
