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

Loss: 0.0359

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
0.0489	0.1245	1000	0.0507
0.0413	0.2491	2000	0.0438
0.0394	0.3736	3000	0.0409
0.0379	0.4982	4000	0.0388
0.0366	0.6227	5000	0.0374
0.0329	0.7473	6000	0.0365
0.0358	0.8718	7000	0.0360
0.0319	0.9964	8000	0.0359

Framework versions

Transformers 4.57.6
Pytorch 2.9.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

formalmathatepfl/feedback-dropout-even

Qwen3-feedback-dropout-even

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

formalmathatepfl/
feedback-dropout-even