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--- |
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library_name: transformers |
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base_model: llama_small_config.json |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: llama-3.2-350M-fourier_arithmetic_dataset |
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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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# llama-3.2-350M-fourier_arithmetic_dataset |
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This model is a fine-tuned version of [llama_small_config.json](https://huggingface.co/llama_small_config.json) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6047 |
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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: 0.0005 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 2 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.8493 | 0.1066 | 1000 | 1.8628 | |
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| 1.8654 | 0.2132 | 2000 | 1.8692 | |
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| 1.8328 | 0.3197 | 3000 | 1.8328 | |
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| 1.7287 | 0.4263 | 4000 | 1.7136 | |
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| 1.6856 | 0.5329 | 5000 | 1.6816 | |
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| 1.65 | 0.6395 | 6000 | 1.6494 | |
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| 1.6304 | 0.7460 | 7000 | 1.6308 | |
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| 1.6071 | 0.8526 | 8000 | 1.6119 | |
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| 1.6022 | 0.9592 | 9000 | 1.6047 | |
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### Framework versions |
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- Transformers 4.48.2 |
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- Pytorch 2.3.1+cu118 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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