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camel_qwen_sft_rag – AI Model by sucharush | AlphaNeural AI
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camel_qwen_sft_rag
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
Qwen/Qwen3-0.6B-Base
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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camel_qwen_sft_rag
This model is a fine-tuned version of
Qwen/Qwen3-0.6B-Base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5022
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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 24
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: 100
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.5499
0.1939
400
0.5159
0.5288
0.3879
800
0.5077
0.5257
0.5818
1200
0.5040
0.5191
0.7758
1600
0.5025
0.5174
0.9697
2000
0.5022
Framework versions
Transformers 4.51.3
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0