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L09 – AI Model by LazzeKappa | AlphaNeural AI
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L09
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meta-llama/Llama-2-7b-hf
finetune
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L09
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0490
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
0.433
1.0
318
0.4347
0.1729
2.0
636
0.1838
0.0597
3.0
954
0.0642
0.044
4.0
1272
0.0490
Framework versions
Transformers 4.33.3
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
