metadata
library_name: transformers
base_model: ccore/getcode-v2
tags:
- generated_from_trainer
model-index:
- name: getcode-v2
results: []
getcode-v2
This model is a fine-tuned version of ccore/getcode-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8979
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9081 | 1.0 | 1361 | 0.9017 |
| 0.8947 | 1.9990 | 2720 | 0.8979 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0