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DReP SFT Qwen3 8B

This model is a fine-tuned version of Qwen3-8B on the drepahalfsft dataset.

TypeText modelModèle de baseQwen/Qwen3-8BVersionRevision a9d67dfBClasse

Source du modèle

Type
Text model
Taille du fichier
Pas encore enregistré
Modèle de base
Qwen/Qwen3-8B
Version
vRevision a9d67df
Mis à jour
3 oct. 2026
Téléchargements
11
Tâches
Génération de texte
Source
Hugging Face

Description de la source

drep_a_half_sft

This model is a fine-tuned version of Qwen3-8B on the drep_a_half_sft dataset.

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: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • total_eval_batch_size: 32
  • 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: 0.1
  • num_epochs: 4

Training results

Framework versions

  • Transformers 4.57.1
  • Pytorch 2.6.0+cu124
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Sources

1 source
Hugging FacePrincipalVersion a9d67dfaeaad89570b611cffc45c3f0aaebfe69a
huggingface.co/hahayhe/DReP-SFT-Qwen3-8B/tree/a9d67dfaeaad89570b611cffc45c3f0aaebfe69a

Vérifié 3 oct.

Extraits de sources

3 extraits

--- library_name: transformers license: other base_model: Qwen/Qwen3-8B tags: - llama-factory - full - generated_from_trainer model-index: - name: drep_a_half_sft results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # drep_a_half_sft This model is a fine-tuned version of [Qwen3-8B](Qwen3-8B) on the drep_a_half_sft dataset. ## 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: 8 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 16 - total_train_batch_size: 128 - total_eval_batch_size: 32 - 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: 0.1 - num_epochs: 4 ### Training results ### Framework versions - Transformers 4.57.1 - Pytorch 2.6.0+cu124 - Datasets 4.0.0 - Tokenizers 0.22.2

Source context: 11 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo hahayhe/DReP-SFT-Qwen3-8B

Source context: 262 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo hahayhe/DReP-SFT-Qwen3-8B