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Qwen2.5 1.5B Kabyle Dialog v8

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the None dataset.

KindCheckpointBase modelQwen/Qwen2.5-1.5B-InstructVersionRevision ec64082Dgrade

Model source

Kind
Checkpoint, LoRA
File size
1.35 KB–141 MB
Base model
Qwen/Qwen2.5-1.5B-Instruct
Version
vRevision ec64082
Updated
Oct 1, 2026
Downloads
9
Tasks
Text generation
Source
Hugging Face

Source description

Qwen2.5-1.5B-Kabyle-Dialog-v8

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the None 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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 150
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.19.1
  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 5.0.0
  • Tokenizers 0.22.2

Sources

1 source
Hugging FacePrimaryVersion ec6408200ad229d575d021e061dc5c1a926c0748
huggingface.co/kmerakeb/Qwen2.5-1.5B-Kabyle-Dialog-v8/tree/ec6408200ad229d575d021e061dc5c1a926c0748

Verified Oct 1

Model artifacts

3 artifacts

adapter_model.safetensors

safetensors · 141 MB · SHA-256 99c6e93dce8b…1bbd · Hugging Face

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last-checkpoint/adapter_model.safetensors

safetensors · 141 MB · SHA-256 7a164276036d…9faf · Hugging Face

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last-checkpoint/scaler.pt

pt · 1.35 KB · SHA-256 7bc2b6cf029d…5ede · Hugging Face

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Source excerpts

3 excerpts

--- library_name: peft license: apache-2.0 base_model: Qwen/Qwen2.5-1.5B-Instruct tags: - base_model:adapter:Qwen/Qwen2.5-1.5B-Instruct - lora - transformers pipeline_tag: text-generation model-index: - name: Qwen2.5-1.5B-Kabyle-Dialog-v8 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. --> # Qwen2.5-1.5B-Kabyle-Dialog-v8 This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the None 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: 0.0001 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 16 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 150 - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results ### Framework versions - PEFT 0.19.1 - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 5.0.0 - Tokenizers 0.22.2

Source context: 9 downloads · 0 likes · Pipeline text-generation · Library peft · Repo kmerakeb/Qwen2.5-1.5B-Kabyle-Dialog-v8

Source context: 1144 downloads · 0 likes · Pipeline text-generation · Library peft · Repo kmerakeb/Qwen2.5-1.5B-Kabyle-Dialog-v8