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

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hoaan/
qwen3-0.6b-continued-history-lan2

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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

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: 3.1200

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
3.404	0.1837	50	3.2408
3.2573	0.3673	100	3.1873
3.227	0.5510	150	3.1593
3.2005	0.7346	200	3.1413
3.1864	0.9183	250	3.1308
3.1865	1.0992	300	3.1244
3.163	1.2828	350	3.1218
3.1508	1.4665	400	3.1203
3.1469	1.6501	450	3.1201
3.162	1.8338	500	3.1200

Framework versions

Transformers 4.57.3
Pytorch 2.5.1+cu121
Datasets 3.4.1
Tokenizers 0.22.1