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-insight2
  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-insight2

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: 0.9687
- Rouge1: 24.6641
- Rouge2: 19.0841
- Rougel: 23.6027
- Rougelsum: 24.2082
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.5604        | 1.0   | 172  | 1.1982          | 23.0727 | 15.1292 | 21.7613 | 22.3596   | 19.0    |
| 1.2717        | 2.0   | 344  | 1.0511          | 24.16   | 18.1468 | 22.8935 | 23.6175   | 19.0    |
| 1.1373        | 3.0   | 516  | 1.0002          | 24.5212 | 18.789  | 23.4331 | 24.0315   | 19.0    |
| 1.0895        | 4.0   | 688  | 0.9699          | 24.7531 | 19.3582 | 23.694  | 24.3304   | 19.0    |
| 1.0176        | 5.0   | 860  | 0.9687          | 24.6641 | 19.0841 | 23.6027 | 24.2082   | 19.0    |


### Framework versions

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