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careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_LoRA_5 – AI Model by Hazde | AlphaNeural AI
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careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_LoRA_5
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Qwen/Qwen2.5-0.5B-Instruct
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careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_LoRA_5
This model is a fine-tuned version of
Qwen/Qwen2.5-0.5B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.8703
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: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.3145
0.9993
673
3.8703
Framework versions
PEFT 0.13.2
Transformers 4.46.1
Pytorch 2.5.0+cu124
Datasets 2.19.0
Tokenizers 0.20.1
