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--- |
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license: gemma |
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library_name: peft |
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tags: |
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- alignment-handbook |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: google/gemma-7b |
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datasets: |
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- llama-duo/synth_summarize_dataset |
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model-index: |
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- name: gemma7b-summarize-gemini1.5flash-30k |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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/gx8z9rab) |
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# gemma7b-summarize-gemini1.5flash-30k |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3804 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0256 | 1.0 | 110 | 2.3887 | |
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| 0.8325 | 2.0 | 220 | 2.2270 | |
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| 0.749 | 3.0 | 330 | 2.2333 | |
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| 0.6755 | 4.0 | 440 | 2.2993 | |
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| 0.6197 | 5.0 | 550 | 2.3820 | |
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| 0.5208 | 6.0 | 660 | 2.5869 | |
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| 0.4474 | 7.0 | 770 | 2.8389 | |
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| 0.4044 | 8.0 | 880 | 3.1029 | |
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| 0.3573 | 9.0 | 990 | 3.3573 | |
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| 0.354 | 10.0 | 1100 | 3.3804 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
