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--- |
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license: mit |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: microsoft/Phi-3-medium-128k-instruct |
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model-index: |
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- name: results_medium |
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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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# results_medium |
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This model is a fine-tuned version of [microsoft/Phi-3-medium-128k-instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1562 |
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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: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.9442 | 0.2131 | 100 | 1.9833 | |
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| 1.8439 | 0.4262 | 200 | 1.8431 | |
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| 1.5387 | 0.6393 | 300 | 1.5840 | |
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| 1.4157 | 0.8524 | 400 | 1.3748 | |
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| 1.2628 | 1.0655 | 500 | 1.2339 | |
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| 1.2704 | 1.2786 | 600 | 1.1894 | |
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| 1.1634 | 1.4917 | 700 | 1.1763 | |
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| 1.2318 | 1.7048 | 800 | 1.1708 | |
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| 1.0665 | 1.9180 | 900 | 1.1683 | |
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| 1.1715 | 2.1311 | 1000 | 1.1634 | |
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| 1.1366 | 2.3442 | 1100 | 1.1617 | |
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| 1.1239 | 2.5573 | 1200 | 1.1584 | |
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| 1.1442 | 2.7704 | 1300 | 1.1568 | |
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| 1.1336 | 2.9835 | 1400 | 1.1562 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
