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Mamba_output – AI Model by KyomaP | AlphaNeural AI
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Mamba_output
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peft
safetensors
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state-spaces/mamba-2.8b-hf
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Mamba_output
This model is a fine-tuned version of
state-spaces/mamba-2.8b-hf
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: 0.002
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 8
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 3
Framework versions
PEFT 0.14.0
Transformers 4.46.2
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.20.3
