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jamba-1.9b-fine-tune – AI Model by neeleshg23 | AlphaNeural AI
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neeleshg23
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jamba-1.9b-fine-tune
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transformers
safetensors
jamba
text-generation
generated_from_trainer
neeleshg23/jamba-1.9b-1119
finetune
autotrain_compatible
endpoints_compatible
us
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jamba-1.9b-fine-tune
This model is a fine-tuned version of
neeleshg23/jamba-1.9b-1119
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1
Training results
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3
