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--- |
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library_name: peft |
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license: mit |
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base_model: microsoft/Phi-4-mini-instruct |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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model-index: |
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- name: Phi-4-mini-instruct_sft_sg_values_resp_split |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Phi-4-mini-instruct_sft_sg_values_resp_split |
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This model is a fine-tuned version of [microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct) on the sft_sg_values_res_split dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3214 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 4.3698 | 0.1710 | 250 | 4.1731 | |
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| 3.5096 | 0.3419 | 500 | 3.1497 | |
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| 2.6213 | 0.5129 | 750 | 2.5736 | |
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| 2.4305 | 0.6839 | 1000 | 2.3980 | |
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| 2.3653 | 0.8548 | 1250 | 2.3345 | |
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### Framework versions |
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- PEFT 0.15.2 |
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- Transformers 4.51.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.1 |
