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--- |
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base_model: microsoft/Phi-3.5-mini-instruct |
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library_name: peft |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: phi3.5-mini-adapter_v0 |
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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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# phi3.5-mini-adapter_v0 |
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This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0423 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- training_steps: 250 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 11.9711 | 0.1509 | 10 | 10.5546 | |
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| 0.0847 | 0.3019 | 20 | 0.1104 | |
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| 0.0989 | 0.4528 | 30 | 0.0840 | |
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| 0.0543 | 0.6038 | 40 | 0.0588 | |
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| 0.0392 | 0.7547 | 50 | 0.0490 | |
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| 0.0447 | 0.9057 | 60 | 0.0457 | |
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| 0.0465 | 1.0566 | 70 | 0.0435 | |
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| 0.0317 | 1.2075 | 80 | 0.0445 | |
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| 0.0443 | 1.3585 | 90 | 0.0423 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.43.1 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
