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
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Model tree for cs6220-ai-gradescope-grader/gemma-2-2b-dora
Base model
google/gemma-2-2b