---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/flan-t5-xl
model-index:
- name: flan-t5-xl-spider-qpl-20240127
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flan-t5-xl-spider-qpl-20240127

This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0582
- Execution Accuracy: 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Execution Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:------------------:|
| 0.06          | 1.0   | 6555  | 0.0635          | 0.0                |
| 0.0375        | 2.0   | 13110 | 0.0577          | 0.0                |
| 0.0289        | 3.0   | 19665 | 0.0556          | 0.0                |
| 0.0223        | 4.0   | 26220 | 0.0566          | 0.0                |
| 0.0186        | 5.0   | 32775 | 0.0555          | 0.0                |
| 0.015         | 6.0   | 39330 | 0.0582          | 0.0                |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.1