| | --- |
| | 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 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # 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 |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.32.1 |
| | - Pytorch 1.13.1+cu117 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| |
|
