metadata
base_model: microsoft/codebert-base-mlm
tags:
- generated_from_trainer
model-index:
- name: codebert_4
results: []
codebert_4
This model is a fine-tuned version of microsoft/codebert-base-mlm on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6085
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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7798 | 1.0 | 524 | 0.6483 |
| 0.6994 | 2.0 | 1048 | 0.6122 |
| 0.6585 | 3.0 | 1572 | 0.5789 |
| 0.6499 | 4.0 | 2096 | 0.5766 |
| 0.6222 | 5.0 | 2620 | 0.5661 |
| 0.6106 | 6.0 | 3144 | 0.6085 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2