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qwen25-medquad-3b – AI Model by khaled314 | AlphaNeural AI
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qwen25-medquad-3b
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peft
safetensors
adapter
llama-factory
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text-generation
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Qwen/Qwen2.5-3B-Instruct
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qwen25-medquad-3b
This model is a fine-tuned version of
Qwen/Qwen2.5-3B-Instruct
on the medquad_train dataset. It achieves the following results on the evaluation set:
Loss: 2.0234
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: 1
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: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.0411
2.2735
200
2.0539
2.2021
3.0
264
2.0234
Framework versions
PEFT 0.18.1
Transformers 5.8.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
