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Upload TFEsmForSequenceClassification

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  1. README.md +6 -6
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -13,10 +13,10 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.1028
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  - Train Accuracy: 0.9647
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- - Validation Loss: 0.1550
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- - Validation Accuracy: 0.9433
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  - Epoch: 2
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  ## Model description
@@ -43,9 +43,9 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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- | 0.2490 | 0.9250 | 0.1593 | 0.9409 | 0 |
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- | 0.1494 | 0.9505 | 0.1440 | 0.9456 | 1 |
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- | 0.1028 | 0.9647 | 0.1550 | 0.9433 | 2 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0987
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  - Train Accuracy: 0.9647
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+ - Validation Loss: 0.1547
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+ - Validation Accuracy: 0.9504
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  - Epoch: 2
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  ## Model description
 
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 0.2361 | 0.9250 | 0.1592 | 0.9504 | 0 |
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+ | 0.1393 | 0.9534 | 0.1941 | 0.9417 | 1 |
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+ | 0.0987 | 0.9647 | 0.1547 | 0.9504 | 2 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 134306840
 
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