Hugging Face's logo

tanoManzo
/
hyenadna-large-1m-seqlen-hf_ft_BioS74_1kbpHG19_DHSs_H3K27AC

PyTorch
hyenadna
Generated from Trainer
custom_code
Model card Files Community
tanoManzo commited on
Commit
7cf6024
·
verified ·
1 Parent(s): 034c5d1

End of training

Browse files
Files changed (2) hide show
  1. README.md +37 -23
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
19
 
20
  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.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 0.5017
23
- - F1 Score: 0.7874
24
- - Precision: 0.7888
25
- - Recall: 0.7860
26
- - Accuracy: 0.7778
27
- - Auc: 0.8530
28
- - Prc: 0.8422
29
 
30
  ## Model description
31
 
@@ -55,22 +55,36 @@ The following hyperparameters were used during training:
55
 
56
  ### Training results
57
 
58
- | Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision | Recall | Accuracy | Auc | Prc |
59
- |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|:------:|:------:|
60
- | 0.5447 | 0.1314 | 500 | 0.5291 | 0.7535 | 0.7794 | 0.7293 | 0.7502 | 0.8234 | 0.8069 |
61
- | 0.5188 | 0.2629 | 1000 | 0.5446 | 0.7360 | 0.8083 | 0.6755 | 0.7463 | 0.8317 | 0.8184 |
62
- | 0.5236 | 0.3943 | 1500 | 0.5817 | 0.6878 | 0.8250 | 0.5897 | 0.7197 | 0.8297 | 0.8175 |
63
- | 0.5014 | 0.5258 | 2000 | 0.5341 | 0.7816 | 0.6857 | 0.9086 | 0.7342 | 0.8253 | 0.8064 |
64
- | 0.4842 | 0.6572 | 2500 | 0.5173 | 0.7878 | 0.7368 | 0.8463 | 0.7612 | 0.8363 | 0.8196 |
65
- | 0.5057 | 0.7886 | 3000 | 0.4925 | 0.7910 | 0.7464 | 0.8413 | 0.7673 | 0.8402 | 0.8282 |
66
- | 0.4918 | 0.9201 | 3500 | 0.4851 | 0.7986 | 0.7649 | 0.8353 | 0.7794 | 0.8454 | 0.8290 |
67
- | 0.501 | 1.0515 | 4000 | 0.4973 | 0.7763 | 0.8030 | 0.7514 | 0.7733 | 0.8455 | 0.8299 |
68
- | 0.4948 | 1.1830 | 4500 | 0.4852 | 0.8044 | 0.7553 | 0.8604 | 0.7810 | 0.8464 | 0.8320 |
69
- | 0.4948 | 1.3144 | 5000 | 0.4872 | 0.7950 | 0.7681 | 0.8237 | 0.7775 | 0.8470 | 0.8301 |
70
- | 0.481 | 1.4458 | 5500 | 0.4927 | 0.7928 | 0.7881 | 0.7976 | 0.7818 | 0.8508 | 0.8404 |
71
- | 0.4692 | 1.5773 | 6000 | 0.5061 | 0.7936 | 0.7805 | 0.8071 | 0.7802 | 0.8517 | 0.8349 |
72
- | 0.4645 | 1.7087 | 6500 | 0.5078 | 0.7305 | 0.8381 | 0.6474 | 0.7499 | 0.8541 | 0.8420 |
73
- | 0.4649 | 1.8402 | 7000 | 0.5017 | 0.7874 | 0.7888 | 0.7860 | 0.7778 | 0.8530 | 0.8422 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
74
 
75
 
76
  ### Framework versions
 
19
 
20
  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.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.4539
23
+ - F1 Score: 0.8085
24
+ - Precision: 0.7851
25
+ - Recall: 0.8332
26
+ - Accuracy: 0.7933
27
+ - Auc: 0.8657
28
+ - Prc: 0.8552
29
 
30
  ## Model description
31
 
 
55
 
56
  ### Training results
57
 
58
+ | Training Loss | Epoch | Step | Validation Loss | F1 Score | Precision | Recall | Accuracy | Auc | Prc |
59
+ |:-------------:|:------:|:-----:|:---------------:|:--------:|:---------:|:------:|:--------:|:------:|:------:|
60
+ | 0.5457 | 0.1314 | 500 | 0.5130 | 0.7789 | 0.7681 | 0.7901 | 0.7652 | 0.8248 | 0.7983 |
61
+ | 0.5285 | 0.2629 | 1000 | 0.5064 | 0.7851 | 0.7822 | 0.7880 | 0.7741 | 0.8339 | 0.8177 |
62
+ | 0.5192 | 0.3943 | 1500 | 0.5260 | 0.7687 | 0.7852 | 0.7529 | 0.7628 | 0.8313 | 0.8174 |
63
+ | 0.4935 | 0.5258 | 2000 | 0.5067 | 0.7964 | 0.7532 | 0.8448 | 0.7739 | 0.8342 | 0.8097 |
64
+ | 0.4776 | 0.6572 | 2500 | 0.4999 | 0.8050 | 0.7410 | 0.8810 | 0.7765 | 0.8392 | 0.8221 |
65
+ | 0.5066 | 0.7886 | 3000 | 0.4872 | 0.7978 | 0.7484 | 0.8543 | 0.7733 | 0.8429 | 0.8282 |
66
+ | 0.4927 | 0.9201 | 3500 | 0.5143 | 0.8023 | 0.7509 | 0.8614 | 0.7778 | 0.8327 | 0.8071 |
67
+ | 0.5076 | 1.0515 | 4000 | 0.5345 | 0.7476 | 0.8154 | 0.6901 | 0.7560 | 0.8443 | 0.8294 |
68
+ | 0.4967 | 1.1830 | 4500 | 0.5013 | 0.7991 | 0.7147 | 0.9061 | 0.7615 | 0.8367 | 0.8181 |
69
+ | 0.4905 | 1.3144 | 5000 | 0.4846 | 0.8055 | 0.7496 | 0.8704 | 0.7799 | 0.8461 | 0.8328 |
70
+ | 0.4872 | 1.4458 | 5500 | 0.4887 | 0.7939 | 0.7888 | 0.7991 | 0.7828 | 0.8523 | 0.8405 |
71
+ | 0.4734 | 1.5773 | 6000 | 0.5150 | 0.7924 | 0.7739 | 0.8117 | 0.7773 | 0.8460 | 0.8268 |
72
+ | 0.4699 | 1.7087 | 6500 | 0.4917 | 0.7764 | 0.8120 | 0.7438 | 0.7757 | 0.8520 | 0.8421 |
73
+ | 0.4632 | 1.8402 | 7000 | 0.5059 | 0.7860 | 0.8026 | 0.7700 | 0.7804 | 0.8508 | 0.8396 |
74
+ | 0.4774 | 1.9716 | 7500 | 0.4994 | 0.8069 | 0.7269 | 0.9066 | 0.7728 | 0.8515 | 0.8323 |
75
+ | 0.4709 | 2.1030 | 8000 | 0.4750 | 0.7944 | 0.7932 | 0.7956 | 0.7844 | 0.8555 | 0.8470 |
76
+ | 0.4608 | 2.2345 | 8500 | 0.4694 | 0.7985 | 0.7901 | 0.8071 | 0.7867 | 0.8572 | 0.8476 |
77
+ | 0.4626 | 2.3659 | 9000 | 0.4691 | 0.7997 | 0.7963 | 0.8031 | 0.7894 | 0.8592 | 0.8507 |
78
+ | 0.4476 | 2.4974 | 9500 | 0.4661 | 0.8109 | 0.7818 | 0.8423 | 0.7944 | 0.8584 | 0.8398 |
79
+ | 0.4618 | 2.6288 | 10000 | 0.4752 | 0.7986 | 0.8068 | 0.7906 | 0.7912 | 0.8634 | 0.8559 |
80
+ | 0.453 | 2.7603 | 10500 | 0.4660 | 0.7966 | 0.7966 | 0.7966 | 0.7870 | 0.8590 | 0.8488 |
81
+ | 0.4482 | 2.8917 | 11000 | 0.4639 | 0.8018 | 0.7970 | 0.8066 | 0.7912 | 0.8615 | 0.8514 |
82
+ | 0.4421 | 3.0231 | 11500 | 0.4728 | 0.8128 | 0.7755 | 0.8538 | 0.7941 | 0.8611 | 0.8490 |
83
+ | 0.4359 | 3.1546 | 12000 | 0.4647 | 0.8094 | 0.7707 | 0.8523 | 0.7899 | 0.8604 | 0.8509 |
84
+ | 0.4339 | 3.2860 | 12500 | 0.4843 | 0.8012 | 0.8018 | 0.8006 | 0.7920 | 0.8671 | 0.8615 |
85
+ | 0.4415 | 3.4175 | 13000 | 0.4764 | 0.8080 | 0.7279 | 0.9081 | 0.7741 | 0.8621 | 0.8557 |
86
+ | 0.4336 | 3.5489 | 13500 | 0.4627 | 0.8056 | 0.7823 | 0.8302 | 0.7902 | 0.8637 | 0.8560 |
87
+ | 0.4446 | 3.6803 | 14000 | 0.4539 | 0.8085 | 0.7851 | 0.8332 | 0.7933 | 0.8657 | 0.8552 |
88
 
89
 
90
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:99d10696e7fd54f29faead24f57f64c5d416eb6228b0b476c8daf1a9ff0c5020
3
  size 218288026
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bbb331d89d3edec88ab9303a5ac539cf8ec4c00fa14290633317372bead61331
3
  size 218288026