| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: ibm-granite/granite-8b-code-instruct |
| model-index: |
| - name: peft-dialogue-summary-training-1716404262 |
| 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. --> |
|
|
| # peft-dialogue-summary-training-1716404262 |
|
|
| This model is a fine-tuned version of [ibm-granite/granite-8b-code-instruct](https://huggingface.co/ibm-granite/granite-8b-code-instruct) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5224 |
|
|
| ## 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: 0.0002 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 1 |
| - training_steps: 400 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 7.625 | 0.1453 | 25 | 5.7401 | |
| | 5.3519 | 0.2907 | 50 | 4.5831 | |
| | 4.2545 | 0.4360 | 75 | 3.8334 | |
| | 4.2506 | 0.5814 | 100 | 3.3488 | |
| | 3.5118 | 0.7267 | 125 | 2.8198 | |
| | 3.1713 | 0.8721 | 150 | 2.4324 | |
| | 2.5504 | 1.0174 | 175 | 2.3330 | |
| | 2.174 | 1.1628 | 200 | 2.2412 | |
| | 1.878 | 1.3081 | 225 | 2.1900 | |
| | 1.9039 | 1.4535 | 250 | 2.0439 | |
| | 1.7977 | 1.5988 | 275 | 1.9491 | |
| | 1.7755 | 1.7442 | 300 | 1.8278 | |
| | 1.629 | 1.8895 | 325 | 1.6587 | |
| | 1.5533 | 2.0349 | 350 | 1.5799 | |
| | 1.2937 | 2.1802 | 375 | 1.5344 | |
| | 1.1375 | 2.3256 | 400 | 1.5224 | |
|
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|
|
| ### Framework versions |
|
|
| - PEFT 0.11.1 |
| - Transformers 4.41.0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
