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Danube_finetuned_en_r2_batch16_res_01 – AI Model by MLAlex1980 | AlphaNeural AI

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Danube_finetuned_en_r2_batch16_res_01

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h2oai/h2o-danube-1.8b-chat

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Danube_finetuned_en_r2_batch16_res_01

This model is a fine-tuned version of h2oai/h2o-danube-1.8b-chat 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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.0.1+cu118
Datasets 2.21.0
Tokenizers 0.19.1