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Model: cxrbon16/turkish-llama-MSFT-0.7
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: llama3
+base_model: ytu-ce-cosmos/Turkish-Llama-8b-v0.1
+tags:
+- generated_from_trainer
+model-index:
+- name: turkish-llama-MSFT-0.7
+  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. -->
+
+# turkish-llama-MSFT-0.7
+
+This model is a fine-tuned version of [ytu-ce-cosmos/Turkish-Llama-8b-v0.1](https://huggingface.co/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