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hyenadna-large-1m-seqlen-hf_ft_BioS45_1kbpHG19_DHSs_H3K27AC

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hyenadna
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custom_code
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  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [LongSafari/hyenadna-large-1m-seqlen-hf](https://huggingface.co/LongSafari/hyenadna-large-1m-seqlen-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4539
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- - F1 Score: 0.8038
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- - Precision: 0.7981
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- - Recall: 0.8097
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- - Accuracy: 0.7939
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- - Auc: 0.8722
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- - Prc: 0.8703
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  ## Model description
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@@ -57,18 +57,19 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision | Recall | Accuracy | Auc | Prc |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:------:|:------:|
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- | 0.5546 | 0.2103 | 500 | 0.4918 | 0.7785 | 0.7922 | 0.7653 | 0.7728 | 0.8428 | 0.8366 |
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- | 0.5203 | 0.4207 | 1000 | 0.4840 | 0.7997 | 0.7463 | 0.8613 | 0.7749 | 0.8473 | 0.8374 |
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- | 0.4863 | 0.6310 | 1500 | 0.4987 | 0.7838 | 0.7929 | 0.775 | 0.7770 | 0.8534 | 0.8580 |
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- | 0.4901 | 0.8414 | 2000 | 0.5026 | 0.8039 | 0.7440 | 0.8742 | 0.7775 | 0.8535 | 0.8432 |
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- | 0.4716 | 1.0517 | 2500 | 0.4675 | 0.7976 | 0.7882 | 0.8073 | 0.7863 | 0.8614 | 0.8587 |
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- | 0.4724 | 1.2621 | 3000 | 0.5148 | 0.7733 | 0.8065 | 0.7427 | 0.7728 | 0.8481 | 0.8522 |
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- | 0.474 | 1.4724 | 3500 | 0.4556 | 0.8222 | 0.7590 | 0.8968 | 0.7976 | 0.8700 | 0.8690 |
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- | 0.465 | 1.6828 | 4000 | 0.4643 | 0.8113 | 0.7808 | 0.8444 | 0.7951 | 0.8671 | 0.8676 |
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- | 0.4619 | 1.8931 | 4500 | 0.4761 | 0.8052 | 0.7675 | 0.8468 | 0.7863 | 0.8591 | 0.8544 |
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- | 0.4442 | 2.1035 | 5000 | 0.4615 | 0.8139 | 0.7664 | 0.8677 | 0.7930 | 0.8654 | 0.8608 |
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- | 0.432 | 2.3138 | 5500 | 0.4695 | 0.8202 | 0.7713 | 0.8758 | 0.7997 | 0.8621 | 0.8455 |
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- | 0.4289 | 2.5242 | 6000 | 0.4539 | 0.8038 | 0.7981 | 0.8097 | 0.7939 | 0.8722 | 0.8703 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [LongSafari/hyenadna-large-1m-seqlen-hf](https://huggingface.co/LongSafari/hyenadna-large-1m-seqlen-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4630
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+ - F1 Score: 0.8133
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+ - Precision: 0.7796
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+ - Recall: 0.85
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+ - Accuracy: 0.7964
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+ - Auc: 0.8733
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+ - Prc: 0.8740
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision | Recall | Accuracy | Auc | Prc |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:------:|:------:|
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+ | 0.5578 | 0.2103 | 500 | 0.5077 | 0.7339 | 0.8087 | 0.6718 | 0.7459 | 0.8407 | 0.8258 |
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+ | 0.5127 | 0.4207 | 1000 | 0.4832 | 0.7813 | 0.7861 | 0.7766 | 0.7732 | 0.8460 | 0.8411 |
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+ | 0.4843 | 0.6310 | 1500 | 0.5096 | 0.7670 | 0.8214 | 0.7194 | 0.7720 | 0.8533 | 0.8519 |
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+ | 0.4833 | 0.8414 | 2000 | 0.4942 | 0.8042 | 0.7317 | 0.8927 | 0.7732 | 0.8633 | 0.8521 |
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+ | 0.4748 | 1.0517 | 2500 | 0.4991 | 0.7792 | 0.7997 | 0.7597 | 0.7753 | 0.8581 | 0.8511 |
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+ | 0.4723 | 1.2621 | 3000 | 0.4819 | 0.7833 | 0.8276 | 0.7435 | 0.7854 | 0.8618 | 0.8531 |
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+ | 0.474 | 1.4724 | 3500 | 0.4547 | 0.8026 | 0.8003 | 0.8048 | 0.7934 | 0.8717 | 0.8655 |
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+ | 0.4531 | 1.6828 | 4000 | 0.4560 | 0.8197 | 0.7537 | 0.8984 | 0.7939 | 0.8696 | 0.8629 |
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+ | 0.4601 | 1.8931 | 4500 | 0.4601 | 0.8135 | 0.7554 | 0.8815 | 0.7892 | 0.8658 | 0.8569 |
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+ | 0.441 | 2.1035 | 5000 | 0.4680 | 0.8103 | 0.7545 | 0.875 | 0.7863 | 0.8610 | 0.8497 |
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+ | 0.4267 | 2.3138 | 5500 | 0.4784 | 0.8150 | 0.7775 | 0.8565 | 0.7972 | 0.8705 | 0.8622 |
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+ | 0.4336 | 2.5242 | 6000 | 0.4562 | 0.8032 | 0.7891 | 0.8177 | 0.7909 | 0.8684 | 0.8590 |
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+ | 0.446 | 2.7345 | 6500 | 0.4630 | 0.8133 | 0.7796 | 0.85 | 0.7964 | 0.8733 | 0.8740 |
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  ### Framework versions
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