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checkpoints – AI Model by DimaSK1 | AlphaNeural AI
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checkpoints
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peft
safetensors
adapter
lora
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text-generation
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Qwen/Qwen2.5-3B
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checkpoints
This model is a fine-tuned version of
Qwen/Qwen2.5-3B
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: 0.0002
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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: 0.05
num_epochs: 3
Training results
Framework versions
PEFT 0.18.1
Transformers 5.3.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
