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jamba-1.9b-fine-tune-alpaca – AI Model by neeleshg23 | AlphaNeural AI

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neeleshg23/
jamba-1.9b-fine-tune-alpaca

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text-generation

generated_from_trainer

neeleshg23/jamba-1.9b-fine-tune-alpaca

autotrain_compatible

endpoints_compatible

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jamba-1.9b-alpaca-chinese

This model is a fine-tuned version of neeleshg23/jamba-1.9b-fine-tune-alpaca 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: 5e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 16
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: 3

Training results

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3