64 lines
1.6 KiB
Markdown
64 lines
1.6 KiB
Markdown
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---
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library_name: transformers
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license: llama3
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base_model: ytu-ce-cosmos/Turkish-Llama-8b-v0.1
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tags:
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- generated_from_trainer
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model-index:
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- name: ablation-x-single
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ablation-x-single
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0066
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 46
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 0.03
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.0037 | 0.8466 | 20 | 1.0214 |
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| 0.7493 | 1.6772 | 40 | 1.0062 |
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| 0.7493 | 2.0 | 48 | 1.0066 |
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### Framework versions
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- Transformers 5.5.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.4
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- Tokenizers 0.22.2
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