gemma-2-24b-retrained-base
This model is a fine-tuned version of Columbidae/gemma-2-24b-pruned on the allura-org/roselily-furryinflation, the allura-org/not_gutenberg_json and the ToastyPigeon/roselily-v0-expanded-deduped datasets.
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: 1e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 69
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- total_eval_batch_size: 12
- optimizer: Use OptimizerNames.PAGED_ADEMAMIX_8BIT and the args are: No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 1.0
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
Columbidae/gemma-2-24b-pruned