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quip-4k-qwen – AI Model by Anis1123 | AlphaNeural AI
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quip-4k-qwen
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen2.5-7B
adapter
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4k_train_2024-10-16-11-44-16
This model is a fine-tuned version of
Qwen/Qwen2.5-7B
on the identity 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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 6.0
Training results
Framework versions
PEFT 0.12.0
Transformers 4.45.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.20.1
