|
|
--- |
|
|
library_name: transformers |
|
|
base_model: uclanlp/plbart-base |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- code_search_net |
|
|
metrics: |
|
|
- bleu |
|
|
model-index: |
|
|
- name: code_docstring_model |
|
|
results: |
|
|
- task: |
|
|
name: Sequence-to-sequence Language Modeling |
|
|
type: text2text-generation |
|
|
dataset: |
|
|
name: code_search_net |
|
|
type: code_search_net |
|
|
config: python |
|
|
split: validation |
|
|
args: python |
|
|
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. --> |
|
|
|
|
|
# code_docstring_model |
|
|
|
|
|
This model is a fine-tuned version of [uclanlp/plbart-base](https://huggingface.co/uclanlp/plbart-base) on the code_search_net dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.8020 |
|
|
- Bleu: 0.0 |
|
|
|
|
|
## 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: 8 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 4 |
|
|
- total_train_batch_size: 32 |
|
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 5 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Bleu | |
|
|
|:-------------:|:------:|:----:|:---------------:|:----:| |
|
|
| 0.8912 | 0.9993 | 1076 | 0.8366 | 0.0 | |
|
|
| 0.7932 | 1.9993 | 2152 | 0.8140 | 0.0 | |
|
|
| 0.7662 | 2.9993 | 3228 | 0.8060 | 0.0 | |
|
|
| 0.7433 | 3.9993 | 4304 | 0.8027 | 0.0 | |
|
|
| 0.7351 | 4.9993 | 5380 | 0.8020 | 0.0 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.47.0 |
|
|
- Pytorch 2.5.1+cu121 |
|
|
- Datasets 3.3.1 |
|
|
- Tokenizers 0.21.0 |
|
|
|
