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qwen3-finetuned – AI Model by rhaunschild | AlphaNeural AI | AlphaNeural AI
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qwen3-finetuned
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
Qwen/Qwen3-0.6B
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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qwen3-finetuned
This model is a fine-tuned version of
Qwen/Qwen3-0.6B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3994
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: 8
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.6277
1.0
309
2.6253
2.3553
2.0
618
2.4353
2.3496
3.0
927
2.3994
Framework versions
Transformers 5.14.1
Pytorch 2.13.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2
