Hugging Face's logo

llama-duo
/
gemma7b-summarize-gemini1.5flash-80k

PEFT
TensorBoard
Safetensors
gemma
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Model card Files Metrics Community
chansung commited on
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  1. README.md +79 -0
  2. all_results.json +9 -0
  3. runs/May22_10-50-09_deep-diver-main-calm-newt-1-0-0/events.out.tfevents.1716389644.deep-diver-main-calm-newt-1-0-0.384.0 +2 -2
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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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+ - 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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+ - generator
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+ model-index:
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+ - name: gemma7b-summarize-gemini1.5flash-80k
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+ results: []
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+ ---
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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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+
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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/iqxo2rdd)
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+ # gemma7b-summarize-gemini1.5flash-80k
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+
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+ This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.0229
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+ - 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 0.8742 | 0.9982 | 280 | 2.1938 |
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+ | 0.7213 | 2.0 | 561 | 2.1462 |
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+ | 0.675 | 2.9982 | 841 | 2.1484 |
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+ | 0.6439 | 4.0 | 1122 | 2.2149 |
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+ | 0.569 | 4.9982 | 1402 | 2.3224 |
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+ | 0.5317 | 6.0 | 1683 | 2.4839 |
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+ | 0.472 | 6.9982 | 1963 | 2.6540 |
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+ | 0.4306 | 8.0 | 2244 | 2.8791 |
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+ | 0.4106 | 8.9982 | 2524 | 3.0011 |
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+ | 0.4021 | 9.9822 | 2800 | 3.0229 |
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+
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+
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+ ### Framework versions
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+
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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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