---
license: apache-2.0
base_model: google/flan-t5-xl
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: flan-t5-xl-finetuning-translation-ds
  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-xl-finetuning-translation-ds

This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7281
- Bleu: 39.0171
- Gen Len: 52.6438

## 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: 96
- eval_batch_size: 96
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 768
- total_eval_batch_size: 768
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 13   | 0.8779          | 33.4548 | 52.8617 |
| No log        | 2.0   | 26   | 0.7910          | 36.556  | 52.9883 |
| No log        | 3.0   | 39   | 0.7281          | 39.0171 | 52.6438 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1