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--- |
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license: mit |
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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: microsoft/phi-2 |
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model-index: |
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- name: customer_care_dialog_summary_phi_2 |
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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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# customer_care_dialog_summary_phi_2 |
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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: 1.6666 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.0697 | 1.0 | 110 | 1.7888 | |
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| 1.7135 | 2.0 | 220 | 1.7248 | |
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| 1.6432 | 3.0 | 330 | 1.7010 | |
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| 1.6017 | 4.0 | 440 | 1.6930 | |
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| 1.5717 | 5.0 | 550 | 1.6772 | |
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| 1.5476 | 6.0 | 660 | 1.6707 | |
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| 1.525 | 7.0 | 770 | 1.6555 | |
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| 1.5091 | 8.0 | 880 | 1.6692 | |
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| 1.4935 | 9.0 | 990 | 1.6602 | |
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| 1.4816 | 10.0 | 1100 | 1.6666 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
