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ZeroShot-Llama2-13B-weni-loss-experiment – AI Model by beamaia | AlphaNeural AI

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beamaia/
ZeroShot-Llama2-13B-weni-loss-experiment

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text-generation

generated_from_trainer

NousResearch/Nous-Hermes-Llama2-13b

autotrain_compatible

endpoints_compatible

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ZeroShot-Llama2-13B-weni-loss-experiment

This model is a fine-tuned version of NousResearch/Nous-Hermes-Llama2-13b 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: 0.0004
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 3500

Framework versions

Transformers 4.31.0
Pytorch 2.1.0+cu118
Datasets 2.13.0
Tokenizers 0.13.3