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Qwen2.5-7B_sft_sg_values – AI Model by Incomple | AlphaNeural AI
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Incomple
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Qwen2.5-7B_sft_sg_values
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen2.5-7B-Instruct
adapter
apache-2.0
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Qwen2.5-7B_sft_sg_values
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the sft_sg_values dataset. It achieves the following results on the evaluation set:
Loss: 0.1499
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-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
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_ratio: 0.1
num_epochs: 1.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.6276
0.1869
250
0.5305
0.2889
0.3738
500
0.2433
0.1926
0.5607
750
0.1771
0.1655
0.7477
1000
0.1565
0.1353
0.9346
1250
0.1506
Framework versions
PEFT 0.15.2
Transformers 4.51.1
Pytorch 2.6.0+cu124
Datasets 2.21.0
Tokenizers 0.21.1
