transformers tensorboard safetensors t5 text2text-generation generated_from_trainer en dataset:juraj-juraj/python-docstring-human-gpt-generated-mix base_model:Salesforce/codet5p-220m base_model:finetune:Salesforce/codet5p-220m license:bsd-3-clause model-index autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: Salesforce/codet5p-220m
datasets:
- juraj-juraj/python-docstring-human-gpt-generated-mix
language:
- en
license: bsd-3-clause
metrics:
- bleu
tags:
- generated_from_trainer
model-index:
- name: t5_codet5p_220m_tuned
  results:
  - task:
      type: translation
      name: Translation
    dataset:
      name: juraj-juraj/python-docstring-human-gpt-generated-mix
      type: juraj-juraj/python-docstring-human-gpt-generated-mix
    metrics:
    - type: bleu
      value: 16.1093
      name: Bleu
---

<!-- 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. -->

# t5_codet5p_220m_tuned

This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m) on the juraj-juraj/python-docstring-human-gpt-generated-mix dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9219
- Bleu: 16.1093
- Gen Len: 78.177

## 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: 1e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results



### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
