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L03 – AI Model by LazzeKappa | AlphaNeural AI
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L03
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meta-llama/Llama-2-7b-hf
finetune
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L03
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: 0.9015
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
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
5
1.6499
1.5912
2.0
10
1.1551
1.5912
3.0
15
0.9536
0.8901
4.0
20
0.9258
0.8901
5.0
25
0.9126
0.8024
6.0
30
0.9064
0.8024
7.0
35
0.9020
0.783
8.0
40
0.9015
Framework versions
Transformers 4.33.3
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
