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Healix-410M-Chat-V2 – AI Model by health360 | AlphaNeural AI

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health360/
Healix-410M-Chat-V2

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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output_410m_ultrachat

This model was trained from scratch on the None 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-06
train_batch_size: 2
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
num_epochs: 1

Training results

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1