metadata
base_model: microsoft/codebert-base-mlm
tags:
- generated_from_trainer
model-index:
- name: codebert_2
results: []
codebert_2
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: 0.4898
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 |
|---|---|---|---|
| 0.675 | 1.0 | 511 | 0.5542 |
| 0.5891 | 2.0 | 1022 | 0.5163 |
| 0.5601 | 3.0 | 1533 | 0.5143 |
| 0.539 | 4.0 | 2044 | 0.5076 |
| 0.518 | 5.0 | 2555 | 0.4841 |
| 0.5126 | 6.0 | 3066 | 0.4898 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2