| --- |
| license: gemma |
| library_name: peft |
| tags: |
| - alignment-handbook |
| - trl |
| - sft |
| - generated_from_trainer |
| base_model: google/gemma-7b |
| datasets: |
| - chansung/merged_ds_coding |
| model-index: |
| - name: coding_llamaduo_result1 |
| 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. --> |
|
|
| # coding_llamaduo_result1 |
|
|
| This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the chansung/merged_ds_coding dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1871 |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 8 |
| - total_eval_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.5404 | 0.99 | 36 | 1.5048 | |
| | 0.9147 | 2.0 | 73 | 1.2327 | |
| | 0.7658 | 2.99 | 109 | 1.1766 | |
| | 0.6657 | 4.0 | 146 | 1.1664 | |
| | 0.5601 | 4.93 | 180 | 1.1871 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.39.3 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
