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Qwen3-4B-Base-faquad – AI Model by g-assismoraes | AlphaNeural AI
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Qwen3-4B-Base-faquad
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
Qwen/Qwen3-4B-Base
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Qwen3-4B-Base-faquad
This model is a fine-tuned version of
Qwen/Qwen3-4B-Base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.9271
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: 4
seed: 42
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
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
0.2827
1.0
782
1.3027
0.142
2.0
1564
1.5038
0.0994
3.0
2346
1.6675
0.087
4.0
3128
1.7409
0.0803
5.0
3910
1.8365
0.0807
6.0
4692
1.8826
0.0763
7.0
5474
1.9170
0.0764
8.0
6256
1.9271
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0
