Hugging Face's logo

llama-duo
/
gemma7b-summarize-gpt4o-80k

PEFT
TensorBoard
Safetensors
gemma
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Model card Files Metrics Community
chansung commited on
Commit
0cbb00e
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Model save

Browse files
Files changed (6) hide show
  1. README.md +79 -0
  2. adapter_model.safetensors +1 -1
  3. all_results.json +9 -0
  4. runs/May22_10-48-51_deep-diver-main-strong-panther-1-0-0/events.out.tfevents.1716389593.deep-diver-main-strong-panther-1-0-0.384.0 +2 -2
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+ ---
2
+ license: gemma
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+ library_name: peft
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+ tags:
5
+ - trl
6
+ - sft
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+ - generated_from_trainer
8
+ base_model: google/gemma-7b
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+ datasets:
10
+ - generator
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+ model-index:
12
+ - name: gemma7b-summarize-gpt4o-80k
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+ results: []
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+ ---
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+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ 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/oor99p6r)
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+ # gemma7b-summarize-gpt4o-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: 2.9801
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+
26
+ ## Model description
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+
28
+ More information needed
29
+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
34
+ ## Training and evaluation data
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+
36
+ More information needed
37
+
38
+ ## 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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+ - 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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+
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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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+ | 0.9152 | 0.9982 | 275 | 2.1950 |
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+ | 0.8104 | 2.0 | 551 | 2.1405 |
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+ | 0.7914 | 2.9982 | 826 | 2.1592 |
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+ | 0.6978 | 4.0 | 1102 | 2.2176 |
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+ | 0.6386 | 4.9982 | 1377 | 2.3272 |
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+ | 0.5725 | 6.0 | 1653 | 2.4713 |
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+ | 0.5089 | 6.9982 | 1928 | 2.6491 |
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+ | 0.4678 | 8.0 | 2204 | 2.8434 |
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+ | 0.433 | 8.9982 | 2479 | 2.9604 |
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+ | 0.4229 | 9.9819 | 2750 | 2.9801 |
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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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