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: flan-t5-base-insight1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flan-t5-base-insight1

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: 1.0973
- Rouge1: 19.9416
- Rouge2: 11.0595
- Rougel: 18.2669
- Rougelsum: 18.9114
- 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: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.8224        | 1.0   | 172  | 1.4368          | 18.9061 | 9.9663  | 17.2809 | 17.9391   | 19.0    |
| 1.552         | 2.0   | 344  | 1.2372          | 17.5873 | 9.5234  | 16.5266 | 16.807    | 19.0    |
| 1.3182        | 3.0   | 516  | 1.1590          | 19.8845 | 10.9343 | 18.0006 | 18.9139   | 19.0    |
| 1.2528        | 4.0   | 688  | 1.1116          | 19.6058 | 10.6169 | 17.8829 | 18.5154   | 19.0    |
| 1.2706        | 5.0   | 860  | 1.0973          | 19.9416 | 11.0595 | 18.2669 | 18.9114   | 19.0    |


### Framework versions

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