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skhatuya/
qwen3_4b

Name: qwen3_4b
Availability: InStock

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Qwen3_4B

This model is a fine-tuned version of Qwen/Qwen3-4B on the mydataset_compressed_gsm8k_llmlingua2_qwen_3B dataset. It achieves the following results on the evaluation set:

Loss: 0.3755

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: 5e-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_steps: 0.1
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.4357	0.4017	300	0.4901
0.3635	0.8035	600	0.4181
0.3209	1.2049	900	0.3982
0.2912	1.6066	1200	0.3862
0.3273	2.0080	1500	0.3780
0.2586	2.4098	1800	0.3771
0.2903	2.8115	2100	0.3756
0.2826	3.0	2241	0.3755

Framework versions

PEFT 0.18.1
Transformers 5.6.0
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.22.2

skhatuya/qwen3_4b

Qwen3_4B

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

skhatuya/
qwen3_4b