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Model: AetherModels/AetherCuTF-Ko-3-shared-Seed1234
Source: Original Platform

README.md

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+---
+library_name: transformers
+base_model: llama3_gptsize_config_dtypefix.json
+tags:
+- generated_from_trainer
+model-index:
+- name: AetherCuTF-Ko-3-shared-V7-Seed1234-LR5e-4
+  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. -->
+
+# AetherCuTF-Ko-3-shared-V7-Seed1234-LR5e-4
+
+This model is a fine-tuned version of [llama3_gptsize_config_dtypefix.json](https://huggingface.co/llama3_gptsize_config_dtypefix.json) on the None dataset.
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 1234
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- total_eval_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 0.1
+- num_epochs: 1.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.8.2
+- Tokenizers 0.22.2