camel_qwen_sft – AI Model by sucharush | AlphaNeural AI

You can deploy this model and start earning money today!

sucharush/
camel_qwen_sft

like

0

text-generation

generated_from_trainer

Qwen/Qwen3-0.6B-Base

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

camel_qwen_sft

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: 0.5013

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
0.5374	0.1212	500	0.5227
0.5229	0.2424	1000	0.5129
0.5135	0.3636	1500	0.5077
0.5113	0.4848	2000	0.5045
0.51	0.6061	2500	0.5027
0.5119	0.7273	3000	0.5017
0.5069	0.8485	3500	0.5014
0.508	0.9697	4000	0.5013

Framework versions

Transformers 4.51.3
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0