gemma-2-9b-control-4e-r2
This model is a fine-tuned version of /data/models/gemma-9b-compl on the ds1, the ds2, the ds3, the ds4, the kalo_opus_1, the claude_instruct, the claude_instruct_2 and the epic_synth_2 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: 3e-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 12
- total_train_batch_size: 24
- total_eval_batch_size: 96
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4.0
Training results
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.0a0+e000cf0ad9.nv24.10
- Datasets 3.0.2
- Tokenizers 0.20.1