---
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
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# 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