---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum_0024
  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-samsum_0024

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: 0.5086
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0

## 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: 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: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 24   | 0.6959          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 2.0   | 48   | 0.5676          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 3.0   | 72   | 0.4941          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 4.0   | 96   | 0.4727          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 5.0   | 120  | 0.4739          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 6.0   | 144  | 0.4401          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 7.0   | 168  | 0.4557          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 8.0   | 192  | 0.4656          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 9.0   | 216  | 0.4300          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 10.0  | 240  | 0.4769          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 11.0  | 264  | 0.4541          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 12.0  | 288  | 0.4671          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 13.0  | 312  | 0.4726          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 14.0  | 336  | 0.4839          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 15.0  | 360  | 0.4878          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 16.0  | 384  | 0.4753          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 17.0  | 408  | 0.4881          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 18.0  | 432  | 0.5025          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 19.0  | 456  | 0.5028          | 0.0    | 0.0    | 0.0    | 0.0       |
| No log        | 20.0  | 480  | 0.5092          | 0.0    | 0.0    | 0.0    | 0.0       |
| 0.3261        | 21.0  | 504  | 0.5040          | 0.0    | 0.0    | 0.0    | 0.0       |
| 0.3261        | 22.0  | 528  | 0.5060          | 0.0    | 0.0    | 0.0    | 0.0       |
| 0.3261        | 23.0  | 552  | 0.5119          | 0.0    | 0.0    | 0.0    | 0.0       |
| 0.3261        | 24.0  | 576  | 0.5079          | 0.0    | 0.0    | 0.0    | 0.0       |
| 0.3261        | 25.0  | 600  | 0.5086          | 0.0    | 0.0    | 0.0    | 0.0       |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1