| | --- |
| | library_name: peft |
| | license: apache-2.0 |
| | base_model: distilbert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: results_lora_qkv |
| | 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. --> |
| |
|
| | # results_lora_qkv |
| |
|
| | This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2232 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 64 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 0.2749 | 1.0 | 1563 | 0.2534 | |
| | | 0.2559 | 2.0 | 3126 | 0.2371 | |
| | | 0.24 | 3.0 | 4689 | 0.2254 | |
| | | 0.2259 | 4.0 | 6252 | 0.2256 | |
| | | 0.2357 | 5.0 | 7815 | 0.2232 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.13.2 |
| | - Transformers 4.45.2 |
| | - Pytorch 2.5.0+cu124 |
| | - Datasets 3.0.1 |
| | - Tokenizers 0.20.1 |
