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Qwen2.5-0.5B-Instruct-finetune – AI Model by Mithilss | AlphaNeural AI
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Qwen2.5-0.5B-Instruct-finetune
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transformers
safetensors
qwen2
text-classification
unsloth
generated_from_trainer
unsloth/Qwen2.5-0.5B-Instruct
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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Qwen2.5-0.5B-Instruct-finetune
This model is a fine-tuned version of
unsloth/Qwen2.5-0.5B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4704
Spearman: 0.0908
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: 5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Spearman
0.6624
0.4916
1000
0.4717
0.0806
0.52
0.9833
2000
0.4704
0.0908
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 3.6.0
Tokenizers 0.22.1
