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QACS27LLAMA1 – AI Model by maxmendola | AlphaNeural AI
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QACS27LLAMA1
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TinyPixel/Llama-2-7B-bf16-sharded
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QACS27LLAMA1
This model is a fine-tuned version of
TinyPixel/Llama-2-7B-bf16-sharded
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: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 100
Training results
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1
