---
language:
- en
base_model: EleutherAI/pile-t5-base
tags:
- generated_from_trainer
datasets:
- juraj-juraj/python-docstring-human-gpt-generated-mix
metrics:
- bleu
model-index:
- name: pile_t5_base_docstring
  results:
  - task:
      name: Translation
      type: translation
    dataset:
      name: juraj-juraj/python-docstring-human-gpt-generated-mix
      type: juraj-juraj/python-docstring-human-gpt-generated-mix
    metrics:
    - name: Bleu
      type: bleu
      value: 0.0
---

<!-- 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. -->

# pile_t5_base_docstring

This model is a fine-tuned version of [EleutherAI/pile-t5-base](https://huggingface.co/EleutherAI/pile-t5-base) on the juraj-juraj/python-docstring-human-gpt-generated-mix dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.0
- Gen Len: 256.0

## 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: 1e-05
- train_batch_size: 15
- eval_batch_size: 15
- 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 4.39.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2