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Qwen2.5-3B-Instruct-Clavis-fine-tuned – AI Model by Johnson805 | AlphaNeural AI
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Johnson805
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Qwen2.5-3B-Instruct-Clavis-fine-tuned
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peft
safetensors
qwen2
text-generation
adapter
lora
transformers
Qwen/Qwen2.5-3B-Instruct
other
text-generation-inference
endpoints_compatible
us
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Qwen2.5-3B-Instruct-Clavis-fine-tuned
This model is a fine-tuned version of
Qwen/Qwen2.5-3B-Instruct
on an unknown 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: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Framework versions
PEFT 0.19.1
Transformers 5.12.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
