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---
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
should probably proofread and complete it, then remove this comment. -->
# 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 |