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--- |
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base_model: microsoft/phi-2 |
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library_name: peft |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: peft-dialogue-summary-training-1725678440 |
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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-1725678440 |
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3407 |
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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: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.667 | 0.0500 | 25 | 1.4002 | |
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| 1.193 | 0.1001 | 50 | 1.3815 | |
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| 1.4485 | 0.1501 | 75 | 1.3547 | |
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| 1.207 | 0.2001 | 100 | 1.3567 | |
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| 1.4411 | 0.2501 | 125 | 1.3465 | |
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| 1.1428 | 0.3002 | 150 | 1.3491 | |
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| 1.4025 | 0.3502 | 175 | 1.3419 | |
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| 1.1534 | 0.4002 | 200 | 1.3407 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
