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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Copilot_for_poors_v3 |
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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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# Copilot_for_poors_v3 |
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This model is a fine-tuned version of [Ahmed007/Copilot_for_poors_v2](https://huggingface.co/Ahmed007/Copilot_for_poors_v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3504 |
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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: 12 |
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- eval_batch_size: 12 |
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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: linear |
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- num_epochs: 25 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 57 | 1.4567 | |
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| No log | 2.0 | 114 | 1.4510 | |
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| No log | 3.0 | 171 | 1.4376 | |
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| No log | 4.0 | 228 | 1.4255 | |
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| No log | 5.0 | 285 | 1.4174 | |
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| No log | 6.0 | 342 | 1.4122 | |
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| No log | 7.0 | 399 | 1.4080 | |
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| No log | 8.0 | 456 | 1.3981 | |
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| 1.7151 | 9.0 | 513 | 1.3923 | |
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| 1.7151 | 10.0 | 570 | 1.3870 | |
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| 1.7151 | 11.0 | 627 | 1.3801 | |
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| 1.7151 | 12.0 | 684 | 1.3769 | |
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| 1.7151 | 13.0 | 741 | 1.3706 | |
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| 1.7151 | 14.0 | 798 | 1.3687 | |
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| 1.7151 | 15.0 | 855 | 1.3665 | |
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| 1.7151 | 16.0 | 912 | 1.3613 | |
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| 1.7151 | 17.0 | 969 | 1.3613 | |
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| 1.5556 | 18.0 | 1026 | 1.3576 | |
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| 1.5556 | 19.0 | 1083 | 1.3550 | |
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| 1.5556 | 20.0 | 1140 | 1.3540 | |
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| 1.5556 | 21.0 | 1197 | 1.3530 | |
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| 1.5556 | 22.0 | 1254 | 1.3514 | |
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| 1.5556 | 23.0 | 1311 | 1.3517 | |
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| 1.5556 | 24.0 | 1368 | 1.3506 | |
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| 1.5556 | 25.0 | 1425 | 1.3504 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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