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--- |
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license: other |
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base_model: microsoft/phi-1_5 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: titletor-phi_1-5 |
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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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# titletor-phi_1-5 |
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This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1587 |
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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: 4 |
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- eval_batch_size: 8 |
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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: cosine |
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- lr_scheduler_warmup_steps: 200 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.4023 | 0.1 | 40 | 2.9074 | |
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| 2.7878 | 0.2 | 80 | 2.7608 | |
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| 2.7083 | 0.3 | 120 | 2.6496 | |
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| 2.6213 | 0.41 | 160 | 2.5309 | |
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| 2.5145 | 0.51 | 200 | 2.4658 | |
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| 2.4395 | 0.61 | 240 | 2.4294 | |
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| 2.4016 | 0.71 | 280 | 2.3857 | |
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| 2.4194 | 0.81 | 320 | 2.3635 | |
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| 2.3467 | 0.91 | 360 | 2.3278 | |
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| 2.2736 | 1.02 | 400 | 2.2854 | |
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| 2.1737 | 1.12 | 440 | 2.2824 | |
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| 2.1805 | 1.22 | 480 | 2.2722 | |
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| 2.1472 | 1.32 | 520 | 2.2521 | |
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| 2.1654 | 1.42 | 560 | 2.2372 | |
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| 2.1281 | 1.52 | 600 | 2.2304 | |
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| 2.0958 | 1.62 | 640 | 2.2136 | |
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| 2.1422 | 1.73 | 680 | 2.1955 | |
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| 2.07 | 1.83 | 720 | 2.1919 | |
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| 2.0684 | 1.93 | 760 | 2.1829 | |
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| 2.0392 | 2.03 | 800 | 2.1726 | |
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| 1.868 | 2.13 | 840 | 2.1760 | |
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| 1.8342 | 2.23 | 880 | 2.1696 | |
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| 1.8225 | 2.34 | 920 | 2.1684 | |
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| 1.8678 | 2.44 | 960 | 2.1671 | |
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| 1.8543 | 2.54 | 1000 | 2.1618 | |
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| 1.8666 | 2.64 | 1040 | 2.1607 | |
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| 1.8597 | 2.74 | 1080 | 2.1600 | |
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| 1.8605 | 2.84 | 1120 | 2.1591 | |
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| 1.8515 | 2.94 | 1160 | 2.1587 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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