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--- |
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license: mit |
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base_model: microsoft/phi-2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: V0507HMA15HV4 |
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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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# V0507HMA15HV4 |
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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: -90.3589 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| -10.2471 | 0.09 | 10 | -11.5048 | |
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| -12.7013 | 0.18 | 20 | -14.6171 | |
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| -17.062 | 0.27 | 30 | -21.1957 | |
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| -25.2942 | 0.36 | 40 | -31.1893 | |
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| -35.8779 | 0.45 | 50 | -42.0890 | |
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| -45.8598 | 0.54 | 60 | -51.0205 | |
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| -54.2561 | 0.63 | 70 | -59.2111 | |
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| -62.3661 | 0.73 | 80 | -66.9216 | |
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| -69.4503 | 0.82 | 90 | -73.1015 | |
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| -75.6331 | 0.91 | 100 | -79.7275 | |
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| -80.4469 | 1.0 | 110 | -79.1007 | |
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| -82.9062 | 1.09 | 120 | -78.7341 | |
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| -79.1302 | 1.18 | 130 | -78.9765 | |
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| -80.7856 | 1.27 | 140 | -81.2231 | |
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| -82.8251 | 1.36 | 150 | -84.6507 | |
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| -85.8154 | 1.45 | 160 | -89.2273 | |
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| -87.8705 | 1.54 | 170 | -86.6222 | |
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| -87.8482 | 1.63 | 180 | -87.4917 | |
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| -89.9952 | 1.72 | 190 | -85.7639 | |
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| -88.213 | 1.81 | 200 | -88.9700 | |
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| -90.884 | 1.9 | 210 | -89.7730 | |
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| -90.422 | 1.99 | 220 | -89.8904 | |
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| -89.8791 | 2.08 | 230 | -90.1639 | |
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| -90.1325 | 2.18 | 240 | -90.1416 | |
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| -90.6013 | 2.27 | 250 | -89.7608 | |
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| -89.5485 | 2.36 | 260 | -89.8643 | |
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| -90.4119 | 2.45 | 270 | -90.7045 | |
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| -90.9852 | 2.54 | 280 | -90.5243 | |
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| -90.4856 | 2.63 | 290 | -90.2753 | |
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| -90.5832 | 2.72 | 300 | -90.5374 | |
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| -90.7252 | 2.81 | 310 | -90.4361 | |
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| -90.5843 | 2.9 | 320 | -90.3612 | |
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| -90.4331 | 2.99 | 330 | -90.3589 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.14.1 |
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