Model save

README.md

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+---
+library_name: peft
+license: mit
+base_model: microsoft/Phi-4-mini-instruct
+tags:
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: Phi-4-mini-instruct_sft_sg_values
+  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. -->
+
+# Phi-4-mini-instruct_sft_sg_values
+
+This model is a fine-tuned version of [microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3880
+
+## 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: 1e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 4.3614        | 0.1869 | 250  | 4.1655          |
+| 3.3914        | 0.3738 | 500  | 3.1697          |
+| 2.684         | 0.5607 | 750  | 2.6262          |
+| 2.5099        | 0.7477 | 1000 | 2.4442          |
+| 2.3706        | 0.9346 | 1250 | 2.3880          |
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.51.1
+- Pytorch 2.6.0+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.1