---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xlcost-text-to-code
model-index:
- name: flan-t5-xl-codeparrot-xlcost-text-to-code
  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-codeparrot-xlcost-text-to-code

This model is a fine-tuned version of [epinnock/flan-t5-xl-codeparrot-xlcost-text-to-code](https://huggingface.co/epinnock/flan-t5-xl-codeparrot-xlcost-text-to-code) on the xlcost-text-to-code dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.9876
- eval_rouge1: 43.1227
- eval_rouge2: 25.6539
- eval_rougeL: 41.8635
- eval_rougeLsum: 41.8883
- eval_gen_len: 9.0445
- eval_runtime: 1137.2469
- eval_samples_per_second: 7.17
- eval_steps_per_second: 0.897
- step: 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: 3e-05
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 24
- total_train_batch_size: 144
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Framework versions

- Transformers 4.26.0
- Pytorch 1.12.0+cu116
- Datasets 2.9.0
- Tokenizers 0.12.1