metadata

library_name: transformers
license: apache-2.0
base_model: Salesforce/codet5-small
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: 0.2549466345587089

code_docstring_model

This model is a fine-tuned version of Salesforce/codet5-small on the code_search_net dataset. It achieves the following results on the evaluation set:

Loss: 1.0648
Bleu: 0.2549

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
1.3285	0.9993	1076	1.1621	0.1967
1.1877	1.9993	2152	1.1024	0.2612
1.1597	2.9993	3228	1.0783	0.2552
1.1454	3.9993	4304	1.0680	0.2575
1.1309	4.9993	5380	1.0648	0.2549

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0