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train_residue_list_lr_3e-4_5_epochs_neg_5

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README.md CHANGED
@@ -7,19 +7,19 @@ tags:
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  - lora
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  - generated_from_trainer
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  model-index:
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- - name: train_residue_list_lr_3e-4_5_epochs
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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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- # train_residue_list_lr_3e-4_5_epochs
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  This model is a fine-tuned version of [GreatCaptainNemo/ProLLaMA_Stage_1](https://huggingface.co/GreatCaptainNemo/ProLLaMA_Stage_1) on the adpr_train dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2519
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- - Num Input Tokens Seen: 13420336
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  ## Model description
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@@ -53,22 +53,42 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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  |:-------------:|:------:|:----:|:---------------:|:-----------------:|
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- | 0.4552 | 0.4561 | 100 | 0.4630 | 1229824 |
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- | 0.3728 | 0.9122 | 200 | 0.3762 | 2457344 |
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- | 0.3172 | 1.3649 | 300 | 0.3195 | 3679728 |
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- | 0.2906 | 1.8210 | 400 | 0.2807 | 4908144 |
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- | 0.221 | 2.2737 | 500 | 0.2369 | 6131072 |
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- | 0.2005 | 2.7298 | 600 | 0.2124 | 7358336 |
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- | 0.1387 | 3.1824 | 700 | 0.2251 | 8576496 |
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- | 0.1317 | 3.6385 | 800 | 0.2068 | 9805424 |
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- | 0.0605 | 4.0912 | 900 | 0.2535 | 11023792 |
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- | 0.0647 | 4.5473 | 1000 | 0.2509 | 12251056 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - PEFT 0.14.0
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- - Transformers 4.50.3
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  - Pytorch 2.3.1+cu121
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  - Datasets 3.5.0
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- - Tokenizers 0.21.0
 
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  - lora
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  - generated_from_trainer
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  model-index:
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+ - name: train_residue_list_lr_3e-4_5_epochs_neg_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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+ # train_residue_list_lr_3e-4_5_epochs_neg_5
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  This model is a fine-tuned version of [GreatCaptainNemo/ProLLaMA_Stage_1](https://huggingface.co/GreatCaptainNemo/ProLLaMA_Stage_1) on the adpr_train dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1675
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+ - Num Input Tokens Seen: 36312064
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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  |:-------------:|:------:|:----:|:---------------:|:-----------------:|
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+ | 0.314 | 0.1617 | 100 | 0.3099 | 1177472 |
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+ | 1.0912 | 0.3235 | 200 | 0.2833 | 2353792 |
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+ | 0.2867 | 0.4852 | 300 | 0.2665 | 3529856 |
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+ | 0.2527 | 0.6470 | 400 | 0.2551 | 4704512 |
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+ | 0.251 | 0.8087 | 500 | 0.2453 | 5881088 |
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+ | 0.2157 | 0.9705 | 600 | 0.2286 | 7056896 |
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+ | 0.2341 | 1.1310 | 700 | 0.2221 | 8223104 |
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+ | 0.2017 | 1.2928 | 800 | 0.2096 | 9403904 |
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+ | 0.1898 | 1.4545 | 900 | 0.2038 | 10580480 |
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+ | 0.2013 | 1.6163 | 1000 | 0.2014 | 11757056 |
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+ | 0.2059 | 1.7780 | 1100 | 0.1935 | 12932352 |
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+ | 0.1938 | 1.9397 | 1200 | 0.1979 | 14108928 |
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+ | 0.1803 | 2.1003 | 1300 | 0.1866 | 15276800 |
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+ | 0.1628 | 2.2620 | 1400 | 0.1774 | 16452224 |
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+ | 0.178 | 2.4238 | 1500 | 0.1787 | 17630080 |
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+ | 0.1751 | 2.5855 | 1600 | 0.1708 | 18805632 |
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+ | 0.1678 | 2.7473 | 1700 | 0.1674 | 19982720 |
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+ | 0.1581 | 2.9090 | 1800 | 0.1618 | 21154816 |
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+ | 0.1348 | 3.0696 | 1900 | 0.1682 | 22320640 |
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+ | 0.1192 | 3.2313 | 2000 | 0.1588 | 23493120 |
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+ | 0.1323 | 3.3930 | 2100 | 0.1559 | 24670976 |
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+ | 0.1263 | 3.5548 | 2200 | 0.1524 | 25849728 |
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+ | 0.1155 | 3.7165 | 2300 | 0.1491 | 27029120 |
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+ | 0.1162 | 3.8783 | 2400 | 0.1464 | 28204928 |
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+ | 0.0687 | 4.0388 | 2500 | 0.1594 | 29370240 |
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+ | 0.0695 | 4.2006 | 2600 | 0.1708 | 30547712 |
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+ | 0.0631 | 4.3623 | 2700 | 0.1689 | 31720576 |
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+ | 0.0614 | 4.5241 | 2800 | 0.1685 | 32897024 |
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+ | 0.0692 | 4.6858 | 2900 | 0.1681 | 34075520 |
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+ | 0.0651 | 4.8476 | 3000 | 0.1680 | 35252352 |
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  ### Framework versions
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  - PEFT 0.14.0
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+ - Transformers 4.51.1
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  - Pytorch 2.3.1+cu121
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  - Datasets 3.5.0
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+ - Tokenizers 0.21.1
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