metadata
base_model: microsoft/codebert-base-mlm
tags:
- generated_from_trainer
model-index:
- name: codebert_1
results: []
codebert_1
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: 0.5196
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7115 | 1.0 | 767 | 0.5531 |
| 0.5832 | 2.0 | 1534 | 0.5209 |
| 0.5785 | 3.0 | 2301 | 0.5233 |
| 0.5534 | 4.0 | 3068 | 0.5196 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2