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formalmathatepfl/
qwen3-8b-sft-feedback

Name: qwen3-8b-sft-feedback
Availability: InStock

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-- library_name: transformers license: other base_model: Qwen/Qwen3-8B tags:

Qwen3-feedback

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

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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: 7
total_train_batch_size: 14
total_eval_batch_size: 14
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 Loss	Epoch	Step	Validation Loss
0.0367	0.0819	1000	0.0367
0.0274	0.1638	2000	0.0304
0.0257	0.2457	3000	0.0294
0.0242	0.3276	4000	0.0265
0.0239	0.4095	5000	0.0256
0.0235	0.4914	6000	0.0249
0.0233	0.5733	7000	0.0242
0.0228	0.6553	8000	0.0237
0.0219	0.7372	9000	0.0233
0.0234	0.8191	10000	0.0230
0.0229	0.9010	11000	0.0229
0.0229	0.9829	12000	0.0228