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
• train_batch_size: 2
• eval_batch_size: 8
• seed: 46
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• 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: linear
• lr_scheduler_warmup_steps: 0.03
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.4866	0.4921	90	0.4801
0.3473	0.9843	180	0.3459
0.2589	1.4757	270	0.3362
0.2526	1.9679	360	0.3326

Framework versions

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