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Llama2-7b-BoolQ-full-LoRA-2epoch – AI Model by mogmyij | AlphaNeural AI
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Llama2-7b-BoolQ-full-LoRA-2epoch
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peft
safetensors
trl
sft
generated_from_trainer
meta-llama/Llama-2-7b-hf
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llama2
us
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Llama2-7b-BoolQ-full-LoRA-2epoch
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: 0.4121
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: 0.0001
train_batch_size: 2
eval_batch_size: 8
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_ratio: 0.05
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.4785
0.9996
1178
0.3289
0.2767
1.9992
2356
0.4121
Framework versions
PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1
