ayganyavuz/turkish-llama-MSFT-0.7

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turkish-llama-MSFT-0.7

This model is a fine-tuned version of ytu-ce-cosmos/Turkish-Llama-8b-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3326

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: 2e-05
• —trainbatchsize: 2
• —evalbatchsize: 8
• —seed: 46
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 0.03
• —num_epochs: 2

Training results

Framework versions

• —Transformers 5.3.0
• —Pytorch 2.10.0+cu128
• —Datasets 4.8.4
• —Tokenizers 0.22.2