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book-qwen3-0.6b-finetuned – AI Model by gowribharat | AlphaNeural AI
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book-qwen3-0.6b-finetuned
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peft
tensorboard
safetensors
generated_from_trainer
Qwen/Qwen3-0.6B
adapter
apache-2.0
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book-qwen3-0.6b-finetuned
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: 3.0249
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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.9915
1.0
56
3.0912
2.931
2.0
112
3.0498
2.8145
3.0
168
3.0295
2.7708
4.0
224
3.0246
2.7151
5.0
280
3.0249
Framework versions
PEFT 0.15.2
Transformers 4.52.2
Pytorch 2.6.0+cu124
Datasets 2.13.0
Tokenizers 0.21.1
