library_name, license, base_model, tags, model-index

library_name	license	base_model	tags	model-index
transformers	apache-2.0	Qwen/Qwen3-0.6B	generated_from_trainer	name results Qwen3-0.6B-finetuned-astro-horoscope-fsdp

Qwen3-0.6B-finetuned-astro-horoscope-fsdp

This model is a fine-tuned version of Qwen/Qwen3-0.6B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.2469
• Perplexity: 1.2800

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: 64
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• total_train_batch_size: 512
• total_eval_batch_size: 64
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Perplexity
No log	1.0	39	1.4018	4.0626
2.1578	2.0	78	0.8331	2.3004
0.8726	3.0	117	0.5413	1.7182
0.4763	4.0	156	0.3450	1.4121
0.4763	5.0	195	0.2469	1.2800

Framework versions

• Transformers 5.5.4
• Pytorch 2.11.0+cu128
• Datasets 4.8.4
• Tokenizers 0.22.2