Mam Turkish 790m
This model was trained from scratch on an unknown dataset.
Source du modèle
- Type
- Text model
- Taille du fichier
- 1,63 GB
- Version
- vmodel
- Mis à jour
- 3 oct. 2026
- Éditeur
- @yusuf229
- Téléchargements
- 28
- Paramètres
- 790M
- Tâches
- Génération de texte
- Source
- Hugging Face
Description de la source
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
Sources
1 source
Sources
1 sourceVérifié 3 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactcheckpoint-1400/model.safetensors
safetensors · 1,63 GB · SHA-256 772fd911b5e2…afee · Hugging Face
TéléchargerExtraits de sources
3 extraits
Extraits de sources
3 extraits--- 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
