Model save

README.md

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+---
+license: apache-2.0
+base_model: llm-jp/llm-jp-3-13b-instruct
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+library_name: peft
+model-index:
+- name: llm-jp-3-13b-instruct-lora-MATH_train
+  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. -->
+
+# llm-jp-3-13b-instruct-lora-MATH_train
+
+This model is a fine-tuned version of [llm-jp/llm-jp-3-13b-instruct](https://huggingface.co/llm-jp/llm-jp-3-13b-instruct) on the generator 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 40
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 1280
+- total_eval_batch_size: 320
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 3
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.36.2
+- Pytorch 2.5.1+cu124
+- Datasets 2.16.1
+- Tokenizers 0.15.2