Model save

README.md

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+---
+library_name: peft
+base_model: Grogros/llama2-7b-GaussMark
+tags:
+- generated_from_trainer
+model-index:
+- name: Grogros-llama2-7b-GaussMark-OpenMathInstruct-lora
+  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. -->
+
+# Grogros-llama2-7b-GaussMark-OpenMathInstruct-lora
+
+This model is a fine-tuned version of [Grogros/llama2-7b-GaussMark](https://huggingface.co/Grogros/llama2-7b-GaussMark) on an unknown 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
+No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 2500
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.46.3
+- Pytorch 2.5.1.post303
+- Datasets 3.2.0
+- Tokenizers 0.20.3