---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/flan-t5-xl
model-index:
- name: flan-t5-xl-spider-dict_qpl-20240304-v3
  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-spider-dict_qpl-20240304-v3

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: 0.0936
- Execution Accuracy: 70.5029

## 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  | Execution Accuracy | Validation Loss |
|:-------------:|:-----:|:-----:|:------------------:|:---------------:|
| 0.068         | 1.0   | 6555  | 39.4584            | 0.0767          |
| 0.0432        | 2.0   | 13110 | 52.9981            | 0.0608          |
| 0.033         | 3.0   | 19665 | 60.3482            | 0.0612          |
| 0.0297        | 4.0   | 26220 | 62.8627            | 0.0589          |
| 0.0213        | 5.0   | 32775 | 64.1199            | 0.0605          |
| 0.0188        | 6.0   | 39330 | 64.3133            | 0.0619          |
| 0.0166        | 7.0   | 45885 | 66.441             | 0.0611          |
| 0.0162        | 8.0   | 52440 | 65.8607            | 0.0669          |
| 0.0109        | 9.0   | 58995 | 68.9555            | 0.0666          |
| 0.0101        | 10.0  | 65550 | 68.1818            | 0.0736          |
| 0.0085        | 11.0  | 72105 | 68.0851            | 0.0764          |
| 0.0069        | 12.0  | 78660 | 69.0522            | 0.0801          |
| 0.0068        | 13.0  | 85215 | 69.2456            | 0.0884          |
| 0.0052        | 14.0  | 91770 | 0.0883             | 70.793          |
| 0.0039        | 15.0  | 98325 | 0.0936             | 70.5029         |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2