| | --- |
| | base_model: microsoft/codebert-base-mlm |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - code_search_net |
| | model-index: |
| | - name: MLM_FinetunedModel |
| | results: [] |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # MLM_FinetunedModel |
| | |
| | This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the code_search_net dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.0229 |
| | |
| | ## 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: 128 |
| | - eval_batch_size: 128 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3.0 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | No log | 1.0 | 79 | 1.0892 | |
| | | 1.2429 | 2.0 | 158 | 1.0337 | |
| | | 1.2429 | 3.0 | 237 | 1.0251 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.36.2 |
| | - Pytorch 2.1.2+cu118 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.0 |
| | |
