| --- |
| license: gemma |
| library_name: peft |
| tags: |
| - alignment-handbook |
| - trl |
| - sft |
| - generated_from_trainer |
| base_model: google/gemma-7b |
| datasets: |
| - llama-duo/synth_summarize_dataset |
| model-index: |
| - name: gemma7b-summarize-gpt4o-30k |
| 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. --> |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/chansung18/huggingface/runs/gtgsbwvu) |
| # gemma7b-summarize-gpt4o-30k |
|
|
| This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/synth_summarize_dataset dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.2430 |
|
|
| ## 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: 4 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - 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: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.1572 | 1.0 | 111 | 2.3072 | |
| | 0.9296 | 2.0 | 222 | 2.1789 | |
| | 0.8273 | 3.0 | 333 | 2.1709 | |
| | 0.7586 | 4.0 | 444 | 2.2164 | |
| | 0.6613 | 5.0 | 555 | 2.3182 | |
| | 0.577 | 6.0 | 666 | 2.4774 | |
| | 0.4958 | 7.0 | 777 | 2.7036 | |
| | 0.4205 | 8.0 | 888 | 2.9689 | |
| | 0.382 | 9.0 | 999 | 3.2252 | |
| | 0.372 | 10.0 | 1110 | 3.2430 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.11.1 |
| - Transformers 4.41.0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
