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lora-alpaca-gss-large – AI Model by anamhira | AlphaNeural AI
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lora-alpaca-gss-large
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lora-alpaca-gss-large
This model is a fine-tuned version of
decapoda-research/llama-7b-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.9040
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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.28.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
