qwen3-0.6b-continued-history-lan2-2048 – AI Model by hoaan | AlphaNeural AI

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qwen3-0.6b-continued-history-lan2-2048

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text-generation

generated_from_trainer

Qwen/Qwen3-0.6B

text-generation-inference

endpoints_compatible

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qwen3-0.6b-continued-history-lan2-2048

This model is a fine-tuned version of Qwen/Qwen3-0.6B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.0393

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
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: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
3.2987	0.1989	50	3.1580
3.137	0.3978	100	3.1017
3.1316	0.5967	150	3.0734
3.0942	0.7956	200	3.0563
3.0767	0.9945	250	3.0469
3.0854	1.1909	300	3.0421
3.0498	1.3899	350	3.0402
3.0812	1.5888	400	3.0394
3.0497	1.7877	450	3.0393
3.0381	1.9866	500	3.0393

Framework versions

Transformers 4.57.3
Pytorch 2.5.1+cu121
Datasets 3.4.1
Tokenizers 0.22.1