metadata
library_name: transformers
license: other
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: 500M
results: []
500M
This model is a fine-tuned version of /lus/flare/projects/MultiModalLLM/model-weights/gemma_base on the rv5_g2_2_oldcode_synthcm_newcode and the instruct_replay_gemma 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 12
- total_train_batch_size: 12
- total_eval_batch_size: 96
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: warmup_stable_decay
- lr_scheduler_warmup_steps: 178
- training_steps: 5597
Training results
Framework versions
- Transformers 5.10.0
- Pytorch 2.10.0a0+git449b176
- Datasets 4.5.0
- Tokenizers 0.22.2