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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: ibm-granite/granite-8b-code-instruct |
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model-index: |
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- name: peft-dialogue-summary-training-1716404262 |
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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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# peft-dialogue-summary-training-1716404262 |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5224 |
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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: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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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_steps: 1 |
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- training_steps: 400 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 7.625 | 0.1453 | 25 | 5.7401 | |
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| 5.3519 | 0.2907 | 50 | 4.5831 | |
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| 4.2545 | 0.4360 | 75 | 3.8334 | |
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| 4.2506 | 0.5814 | 100 | 3.3488 | |
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| 3.5118 | 0.7267 | 125 | 2.8198 | |
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| 3.1713 | 0.8721 | 150 | 2.4324 | |
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| 2.5504 | 1.0174 | 175 | 2.3330 | |
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| 2.174 | 1.1628 | 200 | 2.2412 | |
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| 1.878 | 1.3081 | 225 | 2.1900 | |
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| 1.9039 | 1.4535 | 250 | 2.0439 | |
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| 1.7977 | 1.5988 | 275 | 1.9491 | |
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| 1.7755 | 1.7442 | 300 | 1.8278 | |
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| 1.629 | 1.8895 | 325 | 1.6587 | |
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| 1.5533 | 2.0349 | 350 | 1.5799 | |
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| 1.2937 | 2.1802 | 375 | 1.5344 | |
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| 1.1375 | 2.3256 | 400 | 1.5224 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |