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L08 – AI Model by LazzeKappa | AlphaNeural AI
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L08
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meta-llama/Llama-2-7b-hf
finetune
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L08
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: 0.4935
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
0.5752
1.0
46
0.5406
0.5341
2.0
92
0.5026
0.5516
3.0
138
0.4957
0.4672
4.0
184
0.4935
Framework versions
Transformers 4.33.3
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
