---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-alphaX
  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. -->

# flan-t5-base-alphaX

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: 2.0018
- Rouge1: 68.4722
- Rouge2: 61.0119
- Rougel: 68.4722
- Rougelsum: 68.4722
- Gen Len: 8.6667

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 1    | 2.8280          | 16.5064 | 7.7922  | 16.5064 | 15.3846   | 9.6667  |
| No log        | 2.0   | 2    | 2.3357          | 62.2756 | 44.697  | 58.109  | 58.109    | 9.0     |
| No log        | 3.0   | 3    | 2.1559          | 70.609  | 61.9589 | 70.609  | 70.609    | 7.8333  |
| No log        | 4.0   | 4    | 2.0521          | 68.4722 | 61.0119 | 68.4722 | 68.4722   | 8.6667  |
| No log        | 5.0   | 5    | 2.0018          | 68.4722 | 61.0119 | 68.4722 | 68.4722   | 8.6667  |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cpu
- Datasets 2.14.5
- Tokenizers 0.13.3