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