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-insights
  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-insights

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: 0.9312
- Rouge1: 9.0841
- Rouge2: 7.1682
- Rougel: 8.9904
- Rougelsum: 8.8694
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.6115        | 1.0   | 172  | 1.2331          | 8.5644 | 5.4426 | 8.0109 | 7.8524    | 19.0    |
| 1.3117        | 2.0   | 344  | 1.0502          | 8.9253 | 6.9288 | 8.8368 | 8.712     | 19.0    |
| 1.1739        | 3.0   | 516  | 0.9782          | 8.9253 | 6.9288 | 8.8368 | 8.712     | 19.0    |
| 1.1187        | 4.0   | 688  | 0.9432          | 8.5866 | 6.1482 | 8.3238 | 8.4361    | 19.0    |
| 1.059         | 5.0   | 860  | 0.9312          | 9.0841 | 7.1682 | 8.9904 | 8.8694    | 19.0    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
