This model is a fine-tuned version of /mnt/task_runtime/models/Qwen3-8B on the dropout075 dataset. It achieves the following results on the evaluation set:

Loss: 0.0520

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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 16
total_eval_batch_size: 16
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: 0.05
num_epochs: 1.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0663	0.1471	1000	0.0678
0.061	0.2943	2000	0.0598
0.0555	0.4414	3000	0.0562
0.0522	0.5886	4000	0.0542
0.0526	0.7357	5000	0.0529
0.0489	0.8829	6000	0.0522

Framework versions

Transformers 4.57.6
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

formalmathatepfl/qwen3-dropout-0.75

Qwen3-feedback-dropout075

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

formalmathatepfl/
qwen3-dropout-0.75