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customer_care_dialog_summary_phi_2
shivanandmn/customer_care_dialog_summary_phi_2
customer_care_dialog_summary_phi_2 is a machine learning model from shivanandmn. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Feb 18, 2024
- Updated
- Feb 19, 2024
- SHA
- 3ca93583
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
customer_care_dialog_summary_phi_2
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6666
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0697 | 1.0 | 110 | 1.7888 |
| 1.7135 | 2.0 | 220 | 1.7248 |
| 1.6432 | 3.0 | 330 | 1.7010 |
| 1.6017 | 4.0 | 440 | 1.6930 |
| 1.5717 | 5.0 | 550 | 1.6772 |
| 1.5476 | 6.0 | 660 | 1.6707 |
| 1.525 | 7.0 | 770 | 1.6555 |
| 1.5091 | 8.0 | 880 | 1.6692 |
| 1.4935 | 9.0 | 990 | 1.6602 |
| 1.4816 | 10.0 | 1100 | 1.6666 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- License
- mit
- Created
- Feb 18, 2024
- Updated
- Feb 19, 2024