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backward_model – AI Model by yijiexu | AlphaNeural AI
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backward_model
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peft
safetensors
llama-factory
lora
generated_from_trainer
meta-llama/Llama-2-7b-hf
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backward_model
This model is a fine-tuned version of
meta-llama/Llama-2-7b-hf
on the backward_data dataset.
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: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 3.0
Training results
Framework versions
PEFT 0.15.0
Transformers 4.51.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.0
