AmberYifan
capsdnum-marin-8b-base-code_random_b8000_s0
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Model Details
Model Provider
AmberYifan
Model Tree
Base
marin-community/marin-8b-base
Supported Functionality
Dedicated EndpointsContainer
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: 2
- eval_batch_size: 8
- seed: 0
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
Training results
Framework versions
- Transformers 5.7.0
- Pytorch 2.13.0+cu130
- Datasets 4.0.0
- Tokenizers 0.22.2