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cs6220-ai-gradescope-grader_-_gemma-2-2b-dora-8bits – AI Model by RichardErkhov | AlphaNeural AI
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gemma-2-2b-dora - bnb 8bits
Model creator:
https://huggingface.co/cs6220-ai-gradescope-grader/
Original model:
https://huggingface.co/cs6220-ai-gradescope-grader/gemma-2-2b-dora/
Original model description:
library_name: peft license: gemma base_model: google/gemma-2-2b tags:
generated_from_trainer pipeline_tag: text-generation model-index:
name: gemma-2-2b-dora results: []
gemma-2-2b-dora
This model is a fine-tuned version of
google/gemma-2-2b
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 0.1220
eval_runtime: 892.4684
eval_samples_per_second: 6.333
eval_steps_per_second: 1.583
epoch: 0.0315
step: 100
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Framework versions
PEFT 0.13.2
Transformers 4.46.3
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3
