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thanaphatt1/
qwen3.5-9b-muspsy-fixed

Name: qwen3.5-9b-muspsy-fixed
Availability: InStock

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qwen3.5-9b-muspsy-fixed

This model is a fine-tuned version of Qwen/Qwen3.5-9B on the muspsy_task1, the muspsy_task2 and the muspsy_task3_fixed datasets. It achieves the following results on the evaluation set:

Loss: 1.2583

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: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
1.3583	0.3916	500	1.3389
1.2919	0.7833	1000	1.3028
1.2094	1.1747	1500	1.2874
1.2644	1.5663	2000	1.2754
1.2199	1.9579	2500	1.2583
1.1110	2.3493	3000	1.2692
1.1196	2.7410	3500	1.2652
1.1142	3.0	3831	1.2654

Framework versions

PEFT 0.18.1
Transformers 5.8.0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

thanaphatt1/qwen3.5-9b-muspsy-fixed

qwen3.5-9b-muspsy-fixed

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

thanaphatt1/
qwen3.5-9b-muspsy-fixed