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: flan4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# flan4

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1144
- Rouge1: 0.8172
- Rouge2: 0.7352
- Rougel: 0.7955
- Rougelsum: 0.7950

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 42   | 0.1584          | 0.5749 | 0.4616 | 0.5657 | 0.5675    |
| No log        | 2.0   | 84   | 0.1097          | 0.6644 | 0.5149 | 0.6403 | 0.6417    |
| No log        | 3.0   | 126  | 0.0998          | 0.7980 | 0.7276 | 0.7786 | 0.7750    |
| No log        | 4.0   | 168  | 0.1103          | 0.8051 | 0.7256 | 0.7807 | 0.7815    |
| No log        | 5.0   | 210  | 0.1144          | 0.8172 | 0.7352 | 0.7955 | 0.7950    |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
