metadata
base_model: microsoft/codebert-base
tags:
- generated_from_trainer
model-index:
- name: Codebert-Code-finetuned
results: []
Codebert-Code-finetuned
This model is a fine-tuned version of microsoft/codebert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0005
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0289 | 1.0 | 2567 | 0.0030 |
| 0.0036 | 2.0 | 5134 | 0.0008 |
| 0.0018 | 3.0 | 7701 | 0.0005 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1