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update model card README.md

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@@ -19,7 +19,7 @@ model-index:
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  metrics:
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  - name: Spearmanr
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  type: spearmanr
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- value: 0.5732077555504288
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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
@@ -29,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [thundaa/tape-fluorescence-evotuning-DistilProtBert](https://huggingface.co/thundaa/tape-fluorescence-evotuning-DistilProtBert) on the cradle-bio/tape-fluorescence dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2533
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- - Spearmanr: 0.5732
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  ## Model description
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@@ -52,7 +52,7 @@ The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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  - train_batch_size: 40
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  - eval_batch_size: 40
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- - seed: 42
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  - gradient_accumulation_steps: 64
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  - total_train_batch_size: 2560
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -64,36 +64,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Spearmanr |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|
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- | 6.4464 | 0.93 | 7 | 2.0865 | 0.1257 |
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- | 1.1461 | 1.93 | 14 | 0.7124 | -0.0118 |
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- | 0.7603 | 2.93 | 21 | 0.6827 | 0.1967 |
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- | 0.764 | 3.93 | 28 | 0.7333 | 0.1692 |
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- | 0.7472 | 4.93 | 35 | 0.6684 | 0.3382 |
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- | 0.8102 | 5.93 | 42 | 1.1057 | 0.3801 |
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- | 0.8274 | 6.93 | 49 | 1.0316 | 0.4150 |
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- | 0.8611 | 7.93 | 56 | 1.9203 | 0.2891 |
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- | 1.1359 | 8.93 | 63 | 0.6911 | 0.0411 |
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- | 0.7643 | 9.93 | 70 | 0.6979 | 0.1488 |
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- | 0.7551 | 10.93 | 77 | 0.6909 | 0.2646 |
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- | 0.7523 | 11.93 | 84 | 0.6897 | 0.3458 |
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- | 0.7479 | 12.93 | 91 | 0.6849 | 0.3655 |
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- | 0.7336 | 13.93 | 98 | 0.6450 | 0.4057 |
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- | 0.6834 | 14.93 | 105 | 0.6552 | 0.4117 |
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- | 0.6223 | 15.93 | 112 | 0.5076 | 0.4377 |
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- | 0.56 | 16.93 | 119 | 0.5573 | 0.4675 |
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- | 0.5422 | 17.93 | 126 | 0.6024 | 0.4656 |
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- | 0.5365 | 18.93 | 133 | 0.3874 | 0.4511 |
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- | 0.4429 | 19.93 | 140 | 0.4097 | 0.5083 |
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- | 0.4105 | 20.93 | 147 | 0.3820 | 0.5220 |
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- | 0.3889 | 21.93 | 154 | 0.3322 | 0.5367 |
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- | 0.3697 | 22.93 | 161 | 0.3556 | 0.5402 |
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- | 0.3862 | 23.93 | 168 | 0.4950 | 0.5395 |
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- | 0.3855 | 24.93 | 175 | 0.2890 | 0.5441 |
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- | 0.345 | 25.93 | 182 | 0.2782 | 0.5507 |
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- | 0.3055 | 26.93 | 189 | 0.2764 | 0.5632 |
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- | 0.2931 | 27.93 | 196 | 0.2688 | 0.5701 |
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- | 0.2832 | 28.93 | 203 | 0.2568 | 0.5716 |
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- | 0.2543 | 29.93 | 210 | 0.2533 | 0.5732 |
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  ### Framework versions
 
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  metrics:
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  - name: Spearmanr
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  type: spearmanr
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+ value: 0.6081143924159805
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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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  This model is a fine-tuned version of [thundaa/tape-fluorescence-evotuning-DistilProtBert](https://huggingface.co/thundaa/tape-fluorescence-evotuning-DistilProtBert) on the cradle-bio/tape-fluorescence dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2209
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+ - Spearmanr: 0.6081
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  ## Model description
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  - learning_rate: 5e-05
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  - train_batch_size: 40
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  - eval_batch_size: 40
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+ - seed: 11
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  - gradient_accumulation_steps: 64
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  - total_train_batch_size: 2560
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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  | Training Loss | Epoch | Step | Validation Loss | Spearmanr |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|
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+ | 6.3796 | 0.93 | 7 | 2.2462 | 0.2021 |
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+ | 1.2421 | 1.93 | 14 | 0.7066 | 0.1024 |
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+ | 0.7978 | 2.93 | 21 | 0.6895 | 0.1444 |
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+ | 0.7613 | 3.93 | 28 | 0.6758 | 0.2527 |
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+ | 0.7498 | 4.93 | 35 | 0.6772 | 0.2620 |
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+ | 0.7486 | 5.93 | 42 | 0.6703 | 0.3991 |
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+ | 0.7394 | 6.93 | 49 | 0.6506 | 0.4038 |
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+ | 0.8251 | 7.93 | 56 | 1.3414 | 0.3358 |
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+ | 0.8479 | 8.93 | 63 | 0.6745 | 0.3353 |
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+ | 0.7954 | 9.93 | 70 | 0.6610 | 0.4157 |
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+ | 0.7316 | 10.93 | 77 | 0.4977 | 0.4483 |
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+ | 0.6027 | 11.93 | 84 | 0.4138 | 0.4517 |
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+ | 0.5239 | 12.93 | 91 | 0.4185 | 0.4798 |
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+ | 0.4802 | 13.93 | 98 | 0.3637 | 0.5082 |
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+ | 0.5417 | 14.93 | 105 | 0.3360 | 0.5143 |
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+ | 0.5022 | 15.93 | 112 | 0.5404 | 0.5207 |
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+ | 0.4487 | 16.93 | 119 | 0.4884 | 0.5347 |
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+ | 0.4229 | 17.93 | 126 | 0.2941 | 0.5530 |
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+ | 0.3785 | 18.93 | 133 | 0.2920 | 0.5625 |
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+ | 0.3448 | 19.93 | 140 | 0.3082 | 0.5589 |
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+ | 0.3352 | 20.93 | 147 | 0.3006 | 0.5638 |
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+ | 0.3219 | 21.93 | 154 | 0.2707 | 0.5737 |
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+ | 0.3156 | 22.93 | 161 | 0.2623 | 0.5775 |
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+ | 0.3142 | 23.93 | 168 | 0.3162 | 0.5752 |
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+ | 0.3003 | 24.93 | 175 | 0.2487 | 0.5897 |
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+ | 0.303 | 25.93 | 182 | 0.2633 | 0.5981 |
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+ | 0.2757 | 26.93 | 189 | 0.2813 | 0.5921 |
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+ | 0.2836 | 27.93 | 196 | 0.2696 | 0.5968 |
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+ | 0.2759 | 28.93 | 203 | 0.2230 | 0.6060 |
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+ | 0.232 | 29.93 | 210 | 0.2209 | 0.6081 |
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  ### Framework versions