Hugging Face's logo

llama-duo
/
gemma2b-classification-gpt4o-100k

PEFT
TensorBoard
Safetensors
gemma
alignment-handbook
trl
sft
Generated from Trainer
4-bit precision
bitsandbytes
Model card Files Metrics Community
chansung commited on
Commit
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Files changed (6) hide show
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+ ---
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+ license: gemma
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+ library_name: peft
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+ tags:
5
+ - trl
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+ - sft
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+ - generated_from_trainer
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+ base_model: google/gemma-2b
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+ datasets:
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+ - generator
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+ model-index:
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+ - name: gemma2b-classification-gpt4o-100k
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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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+ # gemma2b-classification-gpt4o-100k
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+
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+ This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.8001
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 3
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 48
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+ - total_eval_batch_size: 24
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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: 15
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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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+ | 1.4266 | 0.9969 | 159 | 1.9880 |
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+ | 1.3029 | 2.0 | 319 | 1.9710 |
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+ | 1.2414 | 2.9969 | 478 | 1.9794 |
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+ | 1.2012 | 4.0 | 638 | 2.0134 |
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+ | 1.1513 | 4.9969 | 797 | 2.0583 |
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+ | 1.0951 | 6.0 | 957 | 2.1084 |
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+ | 1.0414 | 6.9969 | 1116 | 2.2094 |
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+ | 1.0041 | 8.0 | 1276 | 2.3043 |
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+ | 0.9481 | 8.9969 | 1435 | 2.3989 |
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+ | 0.9006 | 10.0 | 1595 | 2.5173 |
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+ | 0.8626 | 10.9969 | 1754 | 2.6419 |
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+ | 0.8351 | 12.0 | 1914 | 2.7331 |
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+ | 0.8265 | 12.9969 | 2073 | 2.7838 |
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+ | 0.8167 | 14.0 | 2233 | 2.7990 |
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+ | 0.8075 | 14.9530 | 2385 | 2.8001 |
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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 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.2
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