metadata
base_model: ZZZZCCCC/codebert_3
tags:
- generated_from_trainer
model-index:
- name: codebert_4
results: []
codebert_4
This model is a fine-tuned version of ZZZZCCCC/codebert_3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6258
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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4304 | 1.0 | 524 | 0.6510 |
| 0.4333 | 2.0 | 1048 | 0.6258 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2