| | --- |
| | library_name: peft |
| | license: other |
| | base_model: ibm-granite/granite-3.3-8b-instruct |
| | tags: |
| | - llama-factory |
| | - lora |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: factory_granite_results |
| | 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. --> |
| |
|
| | # factory_granite_results |
| |
|
| | This model is a fine-tuned version of [ibm-granite/granite-3.3-8b-instruct](https://huggingface.co/ibm-granite/granite-3.3-8b-instruct) on the train dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2523 |
| | - Accuracy: 0.9475 |
| |
|
| | ## 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: 0.0001 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 4 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 32 |
| | - total_eval_batch_size: 8 |
| | - 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 |
| | - lr_scheduler_warmup_ratio: 0.03 |
| | - num_epochs: 9.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 0.4051 | 1.0 | 32 | 0.4305 | 0.8978 | |
| | | 0.2886 | 2.0 | 64 | 0.3232 | 0.9206 | |
| | | 0.2289 | 3.0 | 96 | 0.2742 | 0.9323 | |
| | | 0.1925 | 4.0 | 128 | 0.2514 | 0.9387 | |
| | | 0.1079 | 5.0 | 160 | 0.2456 | 0.9420 | |
| | | 0.0968 | 6.0 | 192 | 0.2410 | 0.9454 | |
| | | 0.0835 | 7.0 | 224 | 0.2464 | 0.9466 | |
| | | 0.0716 | 8.0 | 256 | 0.2516 | 0.9472 | |
| | | 0.0611 | 9.0 | 288 | 0.2523 | 0.9475 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.15.2 |
| | - Transformers 4.52.4 |
| | - Pytorch 2.7.0 |
| | - Datasets 3.6.0 |
| | - Tokenizers 0.21.1 |
