---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mbpp
metrics:
- bleu
model-index:
- name: t5-mbpp
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: mbpp
      type: mbpp
      config: full
      split: train
      args: full
    metrics:
    - name: Bleu
      type: bleu
      value: 0.0177
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-mbpp

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the mbpp dataset.
It achieves the following results on the evaluation set:
- Loss: 4.6617
- Bleu: 0.0177
- Gen Len: 17.88

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 19   | 4.7777          | 0.0207 | 17.88   |
| No log        | 2.0   | 38   | 4.6617          | 0.0177 | 17.88   |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3