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sft-llama2-7b-vi-math-v1-clean-valid – AI Model by BaoLocTown | AlphaNeural AI
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BaoLocTown
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sft-llama2-7b-vi-math-v1-clean-valid
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peft
safetensors
llama
trl
sft
generated_from_trainer
generator
hllj/Llama2-7B-Vi-Math
adapter
us
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sft-llama2-7b-vi-math-v1-clean-valid
This model is a fine-tuned version of
hllj/Llama2-7B-Vi-Math
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.4689
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
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
0.3858
1.01
1000
0.4780
Framework versions
PEFT 0.5.0
Transformers 4.36.2
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.15.0
