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Llama-2-7b-ultrachat-syn – AI Model by kykim0 | AlphaNeural AI

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kykim0/
Llama-2-7b-ultrachat-syn

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text-generation

alignment-handbook

generated_from_trainer

kykim0/Llama-2-7b-ultrachat200k-2e

autotrain_compatible

text-generation-inference

endpoints_compatible

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Llama-2-7b-ultrachat-syn

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: 2e-05
train_batch_size: 1
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 32
total_train_batch_size: 128
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.1.2
Datasets 2.14.6
Tokenizers 0.19.1