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Mam Turkish 790m

This model was trained from scratch on an unknown dataset.

ArtText modelVersionVerleger@yusuf229CBewertung

Modellquelle

Art
Text model
Dateigröße
1,63 GB
Version
vmodel
Aktualisiert
3. Okt. 2026
Verleger
@yusuf229
Downloads
28
Parameter
790M
Aufgaben
Textgenerierung
Quelle
Hugging Face

Quellenbeschreibung

mam-turkish-790m

This model was trained from scratch on an unknown 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: 4e-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • training_steps: 25000

Training results

Framework versions

  • Transformers 5.12.1
  • Pytorch 2.11.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2

Quellen

1 Quelle
Hugging FacePrimärVersion f5113f1298ef31332ace8232591826c071d409e6
huggingface.co/yusuf229/mam-turkish-790m/tree/f5113f1298ef31332ace8232591826c071d409e6

Verifiziert 3. Okt.

Modellartefakte

1 Artefakt

checkpoint-1400/model.safetensors

safetensors · 1,63 GB · SHA-256 772fd911b5e2…afee · Hugging Face

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Quellenauszüge

3 Auszüge

--- library_name: transformers tags: - generated_from_trainer model-index: - name: mam-turkish-790m 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. --> # mam-turkish-790m This model was trained from scratch on an unknown 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: 4e-05 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - training_steps: 25000 ### Training results ### Framework versions - Transformers 5.12.1 - Pytorch 2.11.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

Source context: 28 downloads · 3 likes · Pipeline text-generation · Library transformers · Repo yusuf229/mam-turkish-790m

Source context: 1267 downloads · 3 likes · Pipeline text-generation · Library transformers · Repo yusuf229/mam-turkish-790m