End of training

README.md

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+---
+library_name: transformers
+base_model: llama_small_config.json
+tags:
+- generated_from_trainer
+model-index:
+- name: llama-3.2-350M-fourier_multiplication_dataset_pert
+  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. -->
+
+# llama-3.2-350M-fourier_multiplication_dataset_pert
+
+This model is a fine-tuned version of [llama_small_config.json](https://huggingface.co/llama_small_config.json) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7478
+
+## 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: 0.0005
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.3155        | 0.1415 | 1000 | 2.3163          |
+| 1.9908        | 0.2831 | 2000 | 1.9850          |
+| 1.9252        | 0.4246 | 3000 | 1.9291          |
+| 1.8977        | 0.5661 | 4000 | 1.8920          |
+| 1.7984        | 0.7076 | 5000 | 1.7951          |
+| 1.7595        | 0.8492 | 6000 | 1.7590          |
+| 1.7511        | 0.9907 | 7000 | 1.7478          |
+
+
+### Framework versions
+
+- Transformers 4.48.2
+- Pytorch 2.3.1+cu118
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "transformers_version": "4.48.2"
+}