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update model card README.md

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  1. README.md +14 -14
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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: 0.32362885705173594
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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 [lightonai/RITA_s](https://huggingface.co/lightonai/RITA_s) 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: 0.7029
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- - Spearmanr: 0.3236
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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: 32
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  - eval_batch_size: 32
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- - seed: 17
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  - gradient_accumulation_steps: 128
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  - total_train_batch_size: 4096
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -64,16 +64,16 @@ 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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- | 7.0854 | 0.85 | 4 | 0.8055 | 0.0686 |
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- | 0.8791 | 1.85 | 8 | 0.7455 | 0.1288 |
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- | 0.822 | 2.85 | 12 | 0.7385 | 0.2069 |
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- | 0.8155 | 3.85 | 16 | 0.7346 | 0.2680 |
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- | 0.8139 | 4.85 | 20 | 0.7345 | 0.3102 |
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- | 0.81 | 5.85 | 24 | 0.7375 | 0.3349 |
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- | 0.805 | 6.85 | 28 | 0.7211 | 0.3298 |
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- | 0.799 | 7.85 | 32 | 0.7114 | 0.3282 |
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- | 0.784 | 8.85 | 36 | 0.7132 | 0.3220 |
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- | 0.6627 | 9.85 | 40 | 0.7029 | 0.3236 |
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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: 0.2955275250425323
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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 [lightonai/RITA_s](https://huggingface.co/lightonai/RITA_s) 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: 0.5855
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+ - Spearmanr: 0.2955
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  ## Model description
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  - learning_rate: 5e-05
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  - train_batch_size: 32
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  - eval_batch_size: 32
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+ - seed: 42
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  - gradient_accumulation_steps: 128
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  - total_train_batch_size: 4096
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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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+ | 4.3595 | 0.85 | 4 | 0.7057 | 0.0940 |
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+ | 0.8654 | 1.85 | 8 | 0.6873 | 0.1280 |
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+ | 0.8292 | 2.85 | 12 | 0.6835 | 0.2290 |
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+ | 0.8212 | 3.85 | 16 | 0.6837 | 0.3110 |
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+ | 0.8191 | 4.85 | 20 | 0.6799 | 0.3281 |
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+ | 0.8137 | 5.85 | 24 | 0.6748 | 0.3277 |
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+ | 0.8057 | 6.85 | 28 | 0.6592 | 0.3162 |
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+ | 0.7769 | 7.85 | 32 | 0.6283 | 0.3065 |
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+ | 0.7382 | 8.85 | 36 | 0.6103 | 0.2795 |
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+ | 0.5991 | 9.85 | 40 | 0.5855 | 0.2955 |
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  ### Framework versions