Model save

README.md

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+---
+license: cc-by-nc-4.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34
+model-index:
+- name: WebSquareAI-finetuning
+  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. -->
+
+# WebSquareAI-finetuning
+
+This model is a fine-tuned version of [kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34](https://huggingface.co/kimwooglae/WebSquareAI-Instruct-KoSOLAR-10.7b-v0.5.34) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6374
+
+## 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: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.6412        | 1.0   | 84   | 0.6449          |
+| 0.497         | 2.0   | 168  | 0.6082          |
+| 0.3357        | 3.0   | 252  | 0.6374          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2