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

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:
- Gen Len: 100.0179
- Loss: 1.7264
- Rouge1: 45.7249
- Rouge2: 19.5118
- Rougel: 33.0194
- Rougelsum: 42.7326

## 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: 0.0001
- train_batch_size: 14
- eval_batch_size: 14
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 56
- total_eval_batch_size: 56
- 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 | Gen Len  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:--------:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| No log        | 1.0   | 302  | 106.2758 | 1.7235          | 44.3127 | 18.5321 | 31.8618 | 41.1286   |
| 1.8444        | 2.0   | 604  | 98.7378  | 1.7037          | 44.6191 | 18.529  | 32.4108 | 41.5764   |
| 1.8444        | 3.0   | 906  | 100.9276 | 1.7065          | 45.2044 | 19.0224 | 32.7758 | 42.1475   |
| 1.6046        | 4.0   | 1208 | 97.4516  | 1.7114          | 45.5049 | 19.1992 | 32.905  | 42.5556   |
| 1.565         | 5.0   | 1510 | 100.0179 | 1.7264          | 45.7249 | 19.5118 | 33.0194 | 42.7326   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2