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Model: adpretko/x86-to-llvm-o2_epoch3-AMD
Source: Original Platform

README.md

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+---
+library_name: transformers
+base_model: adpretko/x86-to-llvm-o2_epoch2
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: x86-to-llvm-o2_epoch3-AMD
+  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. -->
+
+# x86-to-llvm-o2_epoch3-AMD
+
+This model is a fine-tuned version of [adpretko/x86-to-llvm-o2_epoch2](https://huggingface.co/adpretko/x86-to-llvm-o2_epoch2) on the x86-to-llvm-o2_part_00, the x86-to-llvm-o2_part_01, the x86-to-llvm-o2_part_02, the x86-to-llvm-o2_part_03, the x86-to-llvm-o2_part_04, the x86-to-llvm-o2_part_05, the x86-to-llvm-o2_part_06, the x86-to-llvm-o2_part_07, the x86-to-llvm-o2_part_08, the x86-to-llvm-o2_part_09, the x86-to-llvm-o2_part_10, the x86-to-llvm-o2_part_11, the x86-to-llvm-o2_part_12, the x86-to-llvm-o2_part_13, the x86-to-llvm-o2_part_14, the x86-to-llvm-o2_part_15, the x86-to-llvm-o2_part_16, the x86-to-llvm-o2_part_17, the x86-to-llvm-o2_part_18, the x86-to-llvm-o2_part_19, the x86-to-llvm-o2_part_20, the x86-to-llvm-o2_part_21, the x86-to-llvm-o2_part_22, the x86-to-llvm-o2_part_23, the x86-to-llvm-o2_part_24, the x86-to-llvm-o2_part_25, the x86-to-llvm-o2_part_26, the x86-to-llvm-o2_part_27, the x86-to-llvm-o2_part_28, the x86-to-llvm-o2_part_29, the x86-to-llvm-o2_part_30, the x86-to-llvm-o2_part_31, the x86-to-llvm-o2_part_32, the x86-to-llvm-o2_part_33, the x86-to-llvm-o2_part_34, the x86-to-llvm-o2_part_35, the x86-to-llvm-o2_part_36, the x86-to-llvm-o2_part_37, the x86-to-llvm-o2_part_38, the x86-to-llvm-o2_part_39, the x86-to-llvm-o2_part_40, the x86-to-llvm-o2_part_41, the x86-to-llvm-o2_part_42, the x86-to-llvm-o2_part_43, the x86-to-llvm-o2_part_44, the x86-to-llvm-o2_part_45, the x86-to-llvm-o2_part_46, the x86-to-llvm-o2_part_47 and the x86-to-llvm-o2_part_48 datasets.
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 512
+- total_eval_batch_size: 64
+- 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: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.55.0
+- Pytorch 2.8.0+rocm6.3
+- Datasets 3.6.0
+- Tokenizers 0.21.1