gemma-2b-fine-tuned
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
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: 0.001
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
Framework versions
- PEFT 0.9.0
- Transformers 4.39.0.dev0
- Pytorch 2.3.0.dev20240118+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0
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Base model
google/gemma-2b