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qwen-wikitext2 – AI Model by Hossein83 | AlphaNeural AI
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Hossein83
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qwen-wikitext2
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transformers
tensorboard
safetensors
qwen3
text-generation
generated_from_trainer
Qwen/Qwen3-0.6B
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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qwen-wikitext2
This model is a fine-tuned version of
Qwen/Qwen3-0.6B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8660
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: 8
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
1.175
1.0
1204
1.0850
0.9086
2.0
2408
0.9313
0.6094
3.0
3612
0.8660
Framework versions
Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
