---
library_name: transformers
base_model: ccore/getcode-v2
tags:
- generated_from_trainer
model-index:
- name: getcode-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# getcode-v2

This model is a fine-tuned version of [ccore/getcode-v2](https://huggingface.co/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