---
library_name: transformers
license: apache-2.0
base_model: rovdetection/code-1b-pretrain-v3
tags:
- generated_from_trainer
model-index:
- name: code-1b-chat-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# code-1b-chat-v2

This model is a fine-tuned version of [rovdetection/code-1b-pretrain-v3](https://huggingface.co/rovdetection/code-1b-pretrain-v3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9919

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0509        | 0.8840 | 500  | 1.0258          |
| 0.6652        | 1.7673 | 1000 | 0.9919          |


### Framework versions

- Transformers 5.9.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2