---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/flan-t5-large
model-index:
- name: flan-t5-large-samsum
  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-large-samsum

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9492

## 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: 0.001
- 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2035        | 1.0   | 4738  | 1.0323          |
| 1.1186        | 2.0   | 9476  | 1.0119          |
| 1.0904        | 3.0   | 14214 | 0.9983          |
| 1.0591        | 4.0   | 18952 | 0.9858          |
| 1.0319        | 5.0   | 23690 | 0.9711          |
| 0.9659        | 6.0   | 28428 | 0.9620          |
| 0.9388        | 7.0   | 33166 | 0.9547          |
| 0.9148        | 8.0   | 37904 | 0.9510          |
| 0.8681        | 9.0   | 42642 | 0.9486          |
| 0.8502        | 10.0  | 47380 | 0.9492          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2