metadata
base_model: microsoft/codebert-base-mlm
tags:
- generated_from_trainer
datasets:
- code_search_net
model-index:
- name: MLM_FinetunedModel
results: []
MLM_FinetunedModel
This model is a fine-tuned version of 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