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results – AI Model by Linus4Lyf | AlphaNeural AI
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Linus4Lyf
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results
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transformers
pytorch
llama
text-generation
generated_from_trainer
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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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: 2.8145
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: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
2.8484
0.71
500
2.8145
Framework versions
Transformers 4.28.0.dev0
Pytorch 2.0.0+cu118
Tokenizers 0.13.3
