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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: out |
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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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# out |
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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: 1.9839 |
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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: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 2.5886 | 0.4889 | 22 | 2.6622 | |
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| 2.6172 | 0.9778 | 44 | 2.5162 | |
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| 2.502 | 1.4667 | 66 | 2.3493 | |
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| 2.031 | 1.9556 | 88 | 2.2040 | |
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| 2.1055 | 2.4444 | 110 | 2.0898 | |
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| 2.0684 | 2.9333 | 132 | 2.0072 | |
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| 1.7919 | 3.4222 | 154 | 1.9535 | |
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| 1.608 | 3.9111 | 176 | 1.9187 | |
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| 1.7458 | 4.4 | 198 | 1.9064 | |
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| 1.7142 | 4.8889 | 220 | 1.8939 | |
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| 1.7855 | 5.3778 | 242 | 1.8945 | |
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| 1.6425 | 5.8667 | 264 | 1.8936 | |
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| 1.6711 | 6.3556 | 286 | 1.8951 | |
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| 1.6882 | 6.8444 | 308 | 1.9007 | |
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| 1.4663 | 7.3333 | 330 | 1.9092 | |
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| 1.6227 | 7.8222 | 352 | 1.9037 | |
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| 1.4768 | 8.3111 | 374 | 1.9042 | |
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| 1.5643 | 8.8 | 396 | 1.9142 | |
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| 1.4109 | 9.2889 | 418 | 1.9128 | |
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| 1.5431 | 9.7778 | 440 | 1.9283 | |
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| 1.5034 | 10.2667 | 462 | 1.9184 | |
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| 1.3418 | 10.7556 | 484 | 1.9188 | |
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| 1.5773 | 11.2444 | 506 | 1.9224 | |
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| 1.4452 | 11.7333 | 528 | 1.9315 | |
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| 1.3154 | 12.2222 | 550 | 1.9313 | |
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| 1.3509 | 12.7111 | 572 | 1.9380 | |
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| 1.3372 | 13.2 | 594 | 1.9430 | |
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| 1.3439 | 13.6889 | 616 | 1.9436 | |
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| 1.2385 | 14.1778 | 638 | 1.9430 | |
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| 1.2669 | 14.6667 | 660 | 1.9453 | |
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| 1.2923 | 15.1556 | 682 | 1.9504 | |
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| 1.1558 | 15.6444 | 704 | 1.9531 | |
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| 1.3123 | 16.1333 | 726 | 1.9582 | |
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| 1.2309 | 16.6222 | 748 | 1.9588 | |
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| 1.1934 | 17.1111 | 770 | 1.9617 | |
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| 1.1893 | 17.6 | 792 | 1.9639 | |
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| 1.1561 | 18.0889 | 814 | 1.9662 | |
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| 1.244 | 18.5778 | 836 | 1.9749 | |
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| 1.1299 | 19.0667 | 858 | 1.9799 | |
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| 1.1213 | 19.5556 | 880 | 1.9839 | |
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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 2.0.1+cu118 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
