| --- |
| library_name: peft |
| license: other |
| base_model: microsoft/Phi-3-medium-4k-instruct |
| tags: |
| - llama-factory |
| - lora |
| - generated_from_trainer |
| model-index: |
| - name: train_2025-04-09-16-08 |
| 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. --> |
|
|
| # train_2025-04-09-16-08 |
| |
| This model is a fine-tuned version of [microsoft/Phi-3-medium-4k-instruct](https://huggingface.co/microsoft/Phi-3-medium-4k-instruct) on the demo_data dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5246 |
| - Num Input Tokens Seen: 1419568 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 16 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - num_epochs: 10.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
| |:-------------:|:------:|:----:|:---------------:|:-----------------:| |
| | 0.4879 | 2.2424 | 20 | 0.5867 | 356000 | |
| | 0.4577 | 4.4848 | 40 | 0.5385 | 712336 | |
| | 0.5001 | 6.7273 | 60 | 0.5248 | 1061472 | |
| | 0.5027 | 8.9697 | 80 | 0.5246 | 1419568 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.0 |
| - Transformers 4.51.0 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 3.4.1 |
| - Tokenizers 0.21.0 |
