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Llama2-7B-lora-r-32-generic-epoch-5-labels_40.0 – AI Model by Siqi-Hu | AlphaNeural AI
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Siqi-Hu
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Llama2-7B-lora-r-32-generic-epoch-5-labels_40.0
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peft
tensorboard
safetensors
generated_from_trainer
meta-llama/Llama-2-7b-hf
adapter
llama2
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Llama2-7B-lora-r-32-generic-epoch-5-labels_40.0
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.9360
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: 1e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 150
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
5.1569
0.0457
20
5.3968
5.3987
0.0914
40
5.2553
5.133
0.1371
60
5.0065
4.6634
0.1829
80
4.6042
4.3315
0.2286
100
4.2429
4.0887
0.2743
120
4.0269
3.9483
0.32
140
3.9360
Framework versions
PEFT 0.15.2
Transformers 4.45.2
Pytorch 2.5.0+cu121
Datasets 3.2.0
Tokenizers 0.20.3