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-insight0
  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-insight0

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: 0.6420
- Rouge1: 44.3716
- Rouge2: 35.6515
- Rougel: 42.8415
- Rougelsum: 43.4265
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.1013        | 1.0   | 172  | 0.8463          | 43.9339 | 34.6721 | 42.7818 | 42.1925   | 19.0    |
| 0.8014        | 2.0   | 344  | 0.6918          | 43.9339 | 34.6721 | 42.7818 | 42.1925   | 19.0    |
| 0.6506        | 3.0   | 516  | 0.6697          | 43.6406 | 34.0764 | 41.9795 | 42.7117   | 19.0    |
| 0.5984        | 4.0   | 688  | 0.6433          | 45.2785 | 37.429  | 43.8208 | 44.3406   | 19.0    |
| 0.4941        | 5.0   | 860  | 0.6420          | 44.3716 | 35.6515 | 42.8415 | 43.4265   | 19.0    |


### Framework versions

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