---
license: apache-2.0
base_model: Salesforce/codegen2-1B
tags:
- generated_from_trainer
datasets:
- code_segments_py150k
metrics:
- accuracy
model-index:
- name: codegen2-1B_py150_secu
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
    dataset:
      name: code_segments_py150k
      type: code_segments_py150k
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.7620001487509517
---

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# codegen2-1B_py150_secu

This model is a fine-tuned version of [Salesforce/codegen2-1B](https://huggingface.co/Salesforce/codegen2-1B) on the code_segments_py150k dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0928
- Accuracy: 0.7620

## 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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results



### Framework versions

- Transformers 4.32.1
- Pytorch 1.13.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3