nancyH commited on
Commit
31f1277
·
verified ·
1 Parent(s): c17b750

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +57 -0
  2. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.03_ep10_seed42/eval_results.json +1 -0
  3. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.03_ep6_seed42/eval_results.json +1 -0
  4. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/config.json +27 -0
  5. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/model.safetensors +3 -0
  6. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/optimizer.pt +3 -0
  7. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/rng_state.pth +3 -0
  8. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/scheduler.pt +3 -0
  9. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/special_tokens_map.json +7 -0
  10. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/tokenizer.json +0 -0
  11. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/tokenizer_config.json +15 -0
  12. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/trainer_state.json +961 -0
  13. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/training_args.bin +3 -0
  14. EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.03_ep8_seed42/eval_results.json +1 -0
  15. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.06_ep10_seed42/eval_results.json +1 -0
  16. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.06_ep6_seed42/eval_results.json +1 -0
  17. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/config.json +27 -0
  18. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/model.safetensors +3 -0
  19. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/optimizer.pt +3 -0
  20. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/rng_state.pth +3 -0
  21. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/scheduler.pt +3 -0
  22. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/special_tokens_map.json +7 -0
  23. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/tokenizer.json +0 -0
  24. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/tokenizer_config.json +15 -0
  25. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/trainer_state.json +804 -0
  26. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/training_args.bin +3 -0
  27. EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.06_ep8_seed42/eval_results.json +1 -0
  28. EXC/len2_5120/lr1e-5_wd0.01_wr0.10_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.10_ep10_seed42/eval_results.json +1 -0
  29. EXC/len2_5120/lr1e-5_wd0.01_wr0.10_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.10_ep6_seed42/eval_results.json +1 -0
  30. EXC/len2_5120/lr1e-5_wd0.01_wr0.10_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.10_ep8_seed42/eval_results.json +1 -0
  31. EXC/len2_5120/lr1e-5_wd0.05_wr0.03_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.03_ep10_seed42/eval_results.json +1 -0
  32. EXC/len2_5120/lr1e-5_wd0.05_wr0.03_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.03_ep6_seed42/eval_results.json +1 -0
  33. EXC/len2_5120/lr1e-5_wd0.05_wr0.03_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.03_ep8_seed42/eval_results.json +1 -0
  34. EXC/len2_5120/lr1e-5_wd0.05_wr0.06_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.06_ep10_seed42/eval_results.json +1 -0
  35. EXC/len2_5120/lr1e-5_wd0.05_wr0.06_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.06_ep6_seed42/eval_results.json +1 -0
  36. EXC/len2_5120/lr1e-5_wd0.05_wr0.06_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.06_ep8_seed42/eval_results.json +1 -0
  37. EXC/len2_5120/lr1e-5_wd0.05_wr0.10_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.10_ep10_seed42/eval_results.json +1 -0
  38. EXC/len2_5120/lr1e-5_wd0.05_wr0.10_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.10_ep6_seed42/eval_results.json +1 -0
  39. EXC/len2_5120/lr1e-5_wd0.05_wr0.10_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.10_ep8_seed42/eval_results.json +1 -0
  40. EXC/len2_5120/lr1e-5_wd0.0_wr0.03_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.0_wr0.03_ep10_seed42/eval_results.json +1 -0
  41. EXC/len2_5120/lr1e-5_wd0.0_wr0.03_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.0_wr0.03_ep6_seed42/eval_results.json +1 -0
  42. EXC/len2_5120/lr1e-5_wd0.0_wr0.03_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.0_wr0.03_ep8_seed42/eval_results.json +1 -0
  43. EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.0_wr0.06_ep10_seed42/eval_results.json +1 -0
  44. EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.0_wr0.06_ep6_seed42/eval_results.json +1 -0
  45. EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep8_seed42/checkpoint-14418/config.json +27 -0
  46. EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep8_seed42/checkpoint-14418/model.safetensors +3 -0
  47. EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep8_seed42/checkpoint-14418/optimizer.pt +3 -0
  48. EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep8_seed42/checkpoint-14418/rng_state.pth +3 -0
  49. EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep8_seed42/checkpoint-14418/scheduler.pt +3 -0
  50. EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep8_seed42/checkpoint-14418/special_tokens_map.json +7 -0
.gitattributes CHANGED
@@ -33,3 +33,60 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ VASC/len2_5120/wandb/run-20260305_083334-98d6pn0n/run-98d6pn0n.wandb filter=lfs diff=lfs merge=lfs -text
37
+ VASC/len2_5120/wandb/run-20260305_083504-xd6znn4g/run-xd6znn4g.wandb filter=lfs diff=lfs merge=lfs -text
38
+ VASC/len2_5120/wandb/run-20260305_110836-w934r0hw/run-w934r0hw.wandb filter=lfs diff=lfs merge=lfs -text
39
+ VASC/len2_5120/wandb/run-20260305_125109-mxo4ba7y/run-mxo4ba7y.wandb filter=lfs diff=lfs merge=lfs -text
40
+ VASC/len2_5120/wandb/run-20260305_140038-cag5l4ho/run-cag5l4ho.wandb filter=lfs diff=lfs merge=lfs -text
41
+ VASC/len2_5120/wandb/run-20260305_152412-l2w580i0/run-l2w580i0.wandb filter=lfs diff=lfs merge=lfs -text
42
+ VASC/len2_5120/wandb/run-20260305_171152-ht7c7u2r/run-ht7c7u2r.wandb filter=lfs diff=lfs merge=lfs -text
43
+ VASC/len2_5120/wandb/run-20260305_175218-kjpgv2kj/run-kjpgv2kj.wandb filter=lfs diff=lfs merge=lfs -text
44
+ VASC/len2_5120/wandb/run-20260305_194412-7glccrkd/run-7glccrkd.wandb filter=lfs diff=lfs merge=lfs -text
45
+ VASC/len2_5120/wandb/run-20260305_215758-igi7bnu4/run-igi7bnu4.wandb filter=lfs diff=lfs merge=lfs -text
46
+ VASC/len2_5120/wandb/run-20260305_221716-fdd3q8ae/run-fdd3q8ae.wandb filter=lfs diff=lfs merge=lfs -text
47
+ VASC/len2_5120/wandb/run-20260306_002740-0lbhek4e/run-0lbhek4e.wandb filter=lfs diff=lfs merge=lfs -text
48
+ VASC/len2_5120/wandb/run-20260306_022658-lme9vree/run-lme9vree.wandb filter=lfs diff=lfs merge=lfs -text
49
+ VASC/len2_5120/wandb/run-20260306_034650-5vx3bmnc/run-5vx3bmnc.wandb filter=lfs diff=lfs merge=lfs -text
50
+ VASC/len2_5120/wandb/run-20260306_045844-9gy218oi/run-9gy218oi.wandb filter=lfs diff=lfs merge=lfs -text
51
+ VASC/len2_5120/wandb/run-20260306_080101-tzutjz8c/run-tzutjz8c.wandb filter=lfs diff=lfs merge=lfs -text
52
+ VASC/len2_5120/wandb/run-20260306_081920-oi75mt7c/run-oi75mt7c.wandb filter=lfs diff=lfs merge=lfs -text
53
+ VASC/len2_5120/wandb/run-20260306_102817-i0tfydre/run-i0tfydre.wandb filter=lfs diff=lfs merge=lfs -text
54
+ VASC/len2_5120/wandb/run-20260306_122404-z8wzr6oa/run-z8wzr6oa.wandb filter=lfs diff=lfs merge=lfs -text
55
+ VASC/len2_5120/wandb/run-20260306_134526-s42xzxdh/run-s42xzxdh.wandb filter=lfs diff=lfs merge=lfs -text
56
+ VASC/len2_5120/wandb/run-20260306_145116-6qinnif0/run-6qinnif0.wandb filter=lfs diff=lfs merge=lfs -text
57
+ VASC/len2_5120/wandb/run-20260306_175144-ul5ram0z/run-ul5ram0z.wandb filter=lfs diff=lfs merge=lfs -text
58
+ VASC/len2_5120/wandb/run-20260306_180730-9eaiow92/run-9eaiow92.wandb filter=lfs diff=lfs merge=lfs -text
59
+ VASC/len2_5120/wandb/run-20260306_201818-oiqn6lhu/run-oiqn6lhu.wandb filter=lfs diff=lfs merge=lfs -text
60
+ VASC/len2_5120/wandb/run-20260306_220450-j97i5qhu/run-j97i5qhu.wandb filter=lfs diff=lfs merge=lfs -text
61
+ VASC/len2_5120/wandb/run-20260306_225041-sh09dizm/run-sh09dizm.wandb filter=lfs diff=lfs merge=lfs -text
62
+ VASC/len2_5120/wandb/run-20260307_002750-uymuu765/run-uymuu765.wandb filter=lfs diff=lfs merge=lfs -text
63
+ VASC/len2_5120/wandb/run-20260307_025318-q1zgv2ta/run-q1zgv2ta.wandb filter=lfs diff=lfs merge=lfs -text
64
+ VASC/len2_5120/wandb/run-20260307_034456-hf9t43nv/run-hf9t43nv.wandb filter=lfs diff=lfs merge=lfs -text
65
+ VASC/len2_5120/wandb/run-20260307_052350-icyx189y/run-icyx189y.wandb filter=lfs diff=lfs merge=lfs -text
66
+ VASC/len2_5120/wandb/run-20260307_080314-mvrosw49/run-mvrosw49.wandb filter=lfs diff=lfs merge=lfs -text
67
+ VASC/len2_5120/wandb/run-20260307_085233-inzb7bjn/run-inzb7bjn.wandb filter=lfs diff=lfs merge=lfs -text
68
+ VASC/len2_5120/wandb/run-20260307_104055-hh05kzkl/run-hh05kzkl.wandb filter=lfs diff=lfs merge=lfs -text
69
+ VASC/len2_5120/wandb/run-20260307_131510-at1htxdp/run-at1htxdp.wandb filter=lfs diff=lfs merge=lfs -text
70
+ VASC/len2_5120/wandb/run-20260307_141152-q05v6wzc/run-q05v6wzc.wandb filter=lfs diff=lfs merge=lfs -text
71
+ VASC/len2_5120/wandb/run-20260307_155139-ssfl0igb/run-ssfl0igb.wandb filter=lfs diff=lfs merge=lfs -text
72
+ VASC/len2_5120/wandb/run-20260307_184807-tobhmrlp/run-tobhmrlp.wandb filter=lfs diff=lfs merge=lfs -text
73
+ VASC/len2_5120/wandb/run-20260307_200804-tymqq6xu/run-tymqq6xu.wandb filter=lfs diff=lfs merge=lfs -text
74
+ VASC/len2_5120/wandb/run-20260307_205648-smymbkb0/run-smymbkb0.wandb filter=lfs diff=lfs merge=lfs -text
75
+ VASC/len2_5120/wandb/run-20260307_220122-h2bn8t0e/run-h2bn8t0e.wandb filter=lfs diff=lfs merge=lfs -text
76
+ VASC/len2_5120/wandb/run-20260307_232134-tlj8onax/run-tlj8onax.wandb filter=lfs diff=lfs merge=lfs -text
77
+ VASC/len2_5120/wandb/run-20260308_001017-hbhfi2gh/run-hbhfi2gh.wandb filter=lfs diff=lfs merge=lfs -text
78
+ VASC/len2_5120/wandb/run-20260308_011443-7lxf0tob/run-7lxf0tob.wandb filter=lfs diff=lfs merge=lfs -text
79
+ VASC/len2_5120/wandb/run-20260308_023449-5f4aqujg/run-5f4aqujg.wandb filter=lfs diff=lfs merge=lfs -text
80
+ VASC/len2_5120/wandb/run-20260308_032331-04xba6r6/run-04xba6r6.wandb filter=lfs diff=lfs merge=lfs -text
81
+ VASC/len2_5120/wandb/run-20260308_042802-k45d89yt/run-k45d89yt.wandb filter=lfs diff=lfs merge=lfs -text
82
+ VASC/len2_5120/wandb/run-20260308_054809-euenapke/run-euenapke.wandb filter=lfs diff=lfs merge=lfs -text
83
+ VASC/len2_5120/wandb/run-20260308_063652-7l50puhg/run-7l50puhg.wandb filter=lfs diff=lfs merge=lfs -text
84
+ VASC/len2_5120/wandb/run-20260308_074117-tmcjsfu5/run-tmcjsfu5.wandb filter=lfs diff=lfs merge=lfs -text
85
+ VASC/len2_5120/wandb/run-20260308_090125-5rtg1dnc/run-5rtg1dnc.wandb filter=lfs diff=lfs merge=lfs -text
86
+ VASC/len2_5120/wandb/run-20260308_095008-6v62tslb/run-6v62tslb.wandb filter=lfs diff=lfs merge=lfs -text
87
+ VASC/len2_5120/wandb/run-20260308_105437-mmqslv3t/run-mmqslv3t.wandb filter=lfs diff=lfs merge=lfs -text
88
+ VASC/len2_5120/wandb/run-20260308_121442-b8pjz8t5/run-b8pjz8t5.wandb filter=lfs diff=lfs merge=lfs -text
89
+ VASC/len2_5120/wandb/run-20260308_130322-gcnv0gtv/run-gcnv0gtv.wandb filter=lfs diff=lfs merge=lfs -text
90
+ VASC/len2_5120/wandb/run-20260308_140747-7mhn07ym/run-7mhn07ym.wandb filter=lfs diff=lfs merge=lfs -text
91
+ super_binary_tune_1gpu.log filter=lfs diff=lfs merge=lfs -text
92
+ super_binary_tune_1gpu_v2.log filter=lfs diff=lfs merge=lfs -text
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.03_ep10_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6357486844062805, "eval_accuracy": 0.6803933300382404, "eval_f1": 0.6548739393065037, "eval_matthews_correlation": 0.31641893864922754, "eval_precision": 0.6646151889953476, "eval_recall": 0.6520530173232272, "eval_runtime": 16.8498, "eval_samples_per_second": 2281.387, "eval_steps_per_second": 17.864, "epoch": 10.0}
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.03_ep6_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.610122799873352, "eval_accuracy": 0.6697276345568534, "eval_f1": 0.6448869889932074, "eval_matthews_correlation": 0.2949207806308538, "eval_precision": 0.6525822696375795, "eval_recall": 0.6425104421609849, "eval_runtime": 16.8556, "eval_samples_per_second": 2280.61, "eval_steps_per_second": 17.858, "epoch": 6.0}
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-100000",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 3072,
13
+ "layer_norm_eps": 1e-12,
14
+ "max_length": 512,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "bert",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 12,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "problem_type": "single_label_classification",
22
+ "torch_dtype": "float32",
23
+ "transformers_version": "4.35.2",
24
+ "type_vocab_size": 2,
25
+ "use_cache": true,
26
+ "vocab_size": 5120
27
+ }
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee7f068a5bb5d999719b7d3e49292708c8dbd6e730953845f70c8016c6d61c40
3
+ size 359923616
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93f9785b2e80eea507c77a8dccd8811622a47ba29705e41b62701fa317200726
3
+ size 719968907
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:21bf71de4d5336d41160a40d23406d015018445a09d519cc79523a1c64e1df3f
3
+ size 14645
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5e9ecdb96bb2533a16adc2f4371030e0b4acaf3b42ecf93089f0cdad3339289
3
+ size 1465
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/tokenizer_config.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {},
3
+ "cache_dir": null,
4
+ "clean_up_tokenization_spaces": true,
5
+ "cls_token": "[CLS]",
6
+ "mask_token": "[MASK]",
7
+ "model_max_length": 200,
8
+ "pad_token": "[PAD]",
9
+ "padding_side": "right",
10
+ "sep_token": "[SEP]",
11
+ "tokenizer_class": "PreTrainedTokenizerFast",
12
+ "trust_remote_code": true,
13
+ "unk_token": "[UNK]",
14
+ "use_fast": true
15
+ }
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/trainer_state.json ADDED
@@ -0,0 +1,961 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6707290940742698,
3
+ "best_model_checkpoint": "/home/n5huang/dna_token/Finetune-species/super_binary_out_tune_1gpu/EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418",
4
+ "epoch": 6.0,
5
+ "eval_steps": 100,
6
+ "global_step": 14418,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.04,
13
+ "learning_rate": 1.7331022530329292e-06,
14
+ "loss": 0.6947,
15
+ "step": 100
16
+ },
17
+ {
18
+ "epoch": 0.08,
19
+ "learning_rate": 3.4662045060658585e-06,
20
+ "loss": 0.6685,
21
+ "step": 200
22
+ },
23
+ {
24
+ "epoch": 0.12,
25
+ "learning_rate": 5.199306759098788e-06,
26
+ "loss": 0.6607,
27
+ "step": 300
28
+ },
29
+ {
30
+ "epoch": 0.17,
31
+ "learning_rate": 6.932409012131717e-06,
32
+ "loss": 0.6541,
33
+ "step": 400
34
+ },
35
+ {
36
+ "epoch": 0.21,
37
+ "learning_rate": 8.665511265164645e-06,
38
+ "loss": 0.6466,
39
+ "step": 500
40
+ },
41
+ {
42
+ "epoch": 0.25,
43
+ "learning_rate": 9.987665576232103e-06,
44
+ "loss": 0.6527,
45
+ "step": 600
46
+ },
47
+ {
48
+ "epoch": 0.29,
49
+ "learning_rate": 9.934037646806459e-06,
50
+ "loss": 0.6451,
51
+ "step": 700
52
+ },
53
+ {
54
+ "epoch": 0.33,
55
+ "learning_rate": 9.880409717380811e-06,
56
+ "loss": 0.6338,
57
+ "step": 800
58
+ },
59
+ {
60
+ "epoch": 0.37,
61
+ "learning_rate": 9.826781787955167e-06,
62
+ "loss": 0.6356,
63
+ "step": 900
64
+ },
65
+ {
66
+ "epoch": 0.42,
67
+ "learning_rate": 9.773153858529523e-06,
68
+ "loss": 0.6353,
69
+ "step": 1000
70
+ },
71
+ {
72
+ "epoch": 0.46,
73
+ "learning_rate": 9.719525929103878e-06,
74
+ "loss": 0.6295,
75
+ "step": 1100
76
+ },
77
+ {
78
+ "epoch": 0.5,
79
+ "learning_rate": 9.665897999678234e-06,
80
+ "loss": 0.6334,
81
+ "step": 1200
82
+ },
83
+ {
84
+ "epoch": 0.54,
85
+ "learning_rate": 9.612270070252588e-06,
86
+ "loss": 0.6202,
87
+ "step": 1300
88
+ },
89
+ {
90
+ "epoch": 0.58,
91
+ "learning_rate": 9.558642140826944e-06,
92
+ "loss": 0.6267,
93
+ "step": 1400
94
+ },
95
+ {
96
+ "epoch": 0.62,
97
+ "learning_rate": 9.505014211401298e-06,
98
+ "loss": 0.6274,
99
+ "step": 1500
100
+ },
101
+ {
102
+ "epoch": 0.67,
103
+ "learning_rate": 9.451386281975654e-06,
104
+ "loss": 0.6264,
105
+ "step": 1600
106
+ },
107
+ {
108
+ "epoch": 0.71,
109
+ "learning_rate": 9.397758352550009e-06,
110
+ "loss": 0.6169,
111
+ "step": 1700
112
+ },
113
+ {
114
+ "epoch": 0.75,
115
+ "learning_rate": 9.344130423124363e-06,
116
+ "loss": 0.6207,
117
+ "step": 1800
118
+ },
119
+ {
120
+ "epoch": 0.79,
121
+ "learning_rate": 9.290502493698719e-06,
122
+ "loss": 0.6206,
123
+ "step": 1900
124
+ },
125
+ {
126
+ "epoch": 0.83,
127
+ "learning_rate": 9.236874564273073e-06,
128
+ "loss": 0.6087,
129
+ "step": 2000
130
+ },
131
+ {
132
+ "epoch": 0.87,
133
+ "learning_rate": 9.18324663484743e-06,
134
+ "loss": 0.6197,
135
+ "step": 2100
136
+ },
137
+ {
138
+ "epoch": 0.92,
139
+ "learning_rate": 9.129618705421784e-06,
140
+ "loss": 0.6185,
141
+ "step": 2200
142
+ },
143
+ {
144
+ "epoch": 0.96,
145
+ "learning_rate": 9.07599077599614e-06,
146
+ "loss": 0.6167,
147
+ "step": 2300
148
+ },
149
+ {
150
+ "epoch": 1.0,
151
+ "learning_rate": 9.022362846570496e-06,
152
+ "loss": 0.6113,
153
+ "step": 2400
154
+ },
155
+ {
156
+ "epoch": 1.0,
157
+ "eval_accuracy": 0.6649410785359382,
158
+ "eval_f1": 0.6306625688061678,
159
+ "eval_loss": 0.6043909788131714,
160
+ "eval_matthews_correlation": 0.27438055934210764,
161
+ "eval_precision": 0.646267406316148,
162
+ "eval_recall": 0.6286764653195611,
163
+ "eval_runtime": 19.5854,
164
+ "eval_samples_per_second": 1962.739,
165
+ "eval_steps_per_second": 15.369,
166
+ "step": 2403
167
+ },
168
+ {
169
+ "epoch": 1.04,
170
+ "learning_rate": 8.96873491714485e-06,
171
+ "loss": 0.6,
172
+ "step": 2500
173
+ },
174
+ {
175
+ "epoch": 1.08,
176
+ "learning_rate": 8.915106987719206e-06,
177
+ "loss": 0.5987,
178
+ "step": 2600
179
+ },
180
+ {
181
+ "epoch": 1.12,
182
+ "learning_rate": 8.86147905829356e-06,
183
+ "loss": 0.5987,
184
+ "step": 2700
185
+ },
186
+ {
187
+ "epoch": 1.17,
188
+ "learning_rate": 8.807851128867915e-06,
189
+ "loss": 0.5994,
190
+ "step": 2800
191
+ },
192
+ {
193
+ "epoch": 1.21,
194
+ "learning_rate": 8.75422319944227e-06,
195
+ "loss": 0.6007,
196
+ "step": 2900
197
+ },
198
+ {
199
+ "epoch": 1.25,
200
+ "learning_rate": 8.700595270016625e-06,
201
+ "loss": 0.6023,
202
+ "step": 3000
203
+ },
204
+ {
205
+ "epoch": 1.29,
206
+ "learning_rate": 8.646967340590981e-06,
207
+ "loss": 0.5954,
208
+ "step": 3100
209
+ },
210
+ {
211
+ "epoch": 1.33,
212
+ "learning_rate": 8.593339411165335e-06,
213
+ "loss": 0.5931,
214
+ "step": 3200
215
+ },
216
+ {
217
+ "epoch": 1.37,
218
+ "learning_rate": 8.539711481739691e-06,
219
+ "loss": 0.6001,
220
+ "step": 3300
221
+ },
222
+ {
223
+ "epoch": 1.41,
224
+ "learning_rate": 8.486083552314046e-06,
225
+ "loss": 0.5939,
226
+ "step": 3400
227
+ },
228
+ {
229
+ "epoch": 1.46,
230
+ "learning_rate": 8.432455622888402e-06,
231
+ "loss": 0.5997,
232
+ "step": 3500
233
+ },
234
+ {
235
+ "epoch": 1.5,
236
+ "learning_rate": 8.378827693462756e-06,
237
+ "loss": 0.605,
238
+ "step": 3600
239
+ },
240
+ {
241
+ "epoch": 1.54,
242
+ "learning_rate": 8.32519976403711e-06,
243
+ "loss": 0.5952,
244
+ "step": 3700
245
+ },
246
+ {
247
+ "epoch": 1.58,
248
+ "learning_rate": 8.271571834611466e-06,
249
+ "loss": 0.596,
250
+ "step": 3800
251
+ },
252
+ {
253
+ "epoch": 1.62,
254
+ "learning_rate": 8.21794390518582e-06,
255
+ "loss": 0.597,
256
+ "step": 3900
257
+ },
258
+ {
259
+ "epoch": 1.66,
260
+ "learning_rate": 8.164315975760176e-06,
261
+ "loss": 0.5921,
262
+ "step": 4000
263
+ },
264
+ {
265
+ "epoch": 1.71,
266
+ "learning_rate": 8.110688046334532e-06,
267
+ "loss": 0.5947,
268
+ "step": 4100
269
+ },
270
+ {
271
+ "epoch": 1.75,
272
+ "learning_rate": 8.057060116908887e-06,
273
+ "loss": 0.5899,
274
+ "step": 4200
275
+ },
276
+ {
277
+ "epoch": 1.79,
278
+ "learning_rate": 8.003432187483243e-06,
279
+ "loss": 0.5968,
280
+ "step": 4300
281
+ },
282
+ {
283
+ "epoch": 1.83,
284
+ "learning_rate": 7.949804258057597e-06,
285
+ "loss": 0.5881,
286
+ "step": 4400
287
+ },
288
+ {
289
+ "epoch": 1.87,
290
+ "learning_rate": 7.896176328631953e-06,
291
+ "loss": 0.5973,
292
+ "step": 4500
293
+ },
294
+ {
295
+ "epoch": 1.91,
296
+ "learning_rate": 7.842548399206307e-06,
297
+ "loss": 0.5985,
298
+ "step": 4600
299
+ },
300
+ {
301
+ "epoch": 1.96,
302
+ "learning_rate": 7.788920469780662e-06,
303
+ "loss": 0.5871,
304
+ "step": 4700
305
+ },
306
+ {
307
+ "epoch": 2.0,
308
+ "learning_rate": 7.735292540355018e-06,
309
+ "loss": 0.5822,
310
+ "step": 4800
311
+ },
312
+ {
313
+ "epoch": 2.0,
314
+ "eval_accuracy": 0.6770375380453162,
315
+ "eval_f1": 0.6574692809518676,
316
+ "eval_loss": 0.5934982895851135,
317
+ "eval_matthews_correlation": 0.31612126764841547,
318
+ "eval_precision": 0.6603790113731842,
319
+ "eval_recall": 0.6557757698529344,
320
+ "eval_runtime": 19.515,
321
+ "eval_samples_per_second": 1969.818,
322
+ "eval_steps_per_second": 15.424,
323
+ "step": 4806
324
+ },
325
+ {
326
+ "epoch": 2.04,
327
+ "learning_rate": 7.681664610929372e-06,
328
+ "loss": 0.5687,
329
+ "step": 4900
330
+ },
331
+ {
332
+ "epoch": 2.08,
333
+ "learning_rate": 7.628036681503728e-06,
334
+ "loss": 0.5792,
335
+ "step": 5000
336
+ },
337
+ {
338
+ "epoch": 2.12,
339
+ "learning_rate": 7.574408752078083e-06,
340
+ "loss": 0.5654,
341
+ "step": 5100
342
+ },
343
+ {
344
+ "epoch": 2.16,
345
+ "learning_rate": 7.520780822652438e-06,
346
+ "loss": 0.5634,
347
+ "step": 5200
348
+ },
349
+ {
350
+ "epoch": 2.21,
351
+ "learning_rate": 7.4671528932267935e-06,
352
+ "loss": 0.5739,
353
+ "step": 5300
354
+ },
355
+ {
356
+ "epoch": 2.25,
357
+ "learning_rate": 7.413524963801149e-06,
358
+ "loss": 0.5718,
359
+ "step": 5400
360
+ },
361
+ {
362
+ "epoch": 2.29,
363
+ "learning_rate": 7.359897034375504e-06,
364
+ "loss": 0.5691,
365
+ "step": 5500
366
+ },
367
+ {
368
+ "epoch": 2.33,
369
+ "learning_rate": 7.306269104949858e-06,
370
+ "loss": 0.5683,
371
+ "step": 5600
372
+ },
373
+ {
374
+ "epoch": 2.37,
375
+ "learning_rate": 7.252641175524213e-06,
376
+ "loss": 0.5674,
377
+ "step": 5700
378
+ },
379
+ {
380
+ "epoch": 2.41,
381
+ "learning_rate": 7.199013246098568e-06,
382
+ "loss": 0.5681,
383
+ "step": 5800
384
+ },
385
+ {
386
+ "epoch": 2.46,
387
+ "learning_rate": 7.1453853166729235e-06,
388
+ "loss": 0.5715,
389
+ "step": 5900
390
+ },
391
+ {
392
+ "epoch": 2.5,
393
+ "learning_rate": 7.091757387247279e-06,
394
+ "loss": 0.5766,
395
+ "step": 6000
396
+ },
397
+ {
398
+ "epoch": 2.54,
399
+ "learning_rate": 7.038665737115891e-06,
400
+ "loss": 0.5687,
401
+ "step": 6100
402
+ },
403
+ {
404
+ "epoch": 2.58,
405
+ "learning_rate": 6.985037807690246e-06,
406
+ "loss": 0.5697,
407
+ "step": 6200
408
+ },
409
+ {
410
+ "epoch": 2.62,
411
+ "learning_rate": 6.931409878264601e-06,
412
+ "loss": 0.5702,
413
+ "step": 6300
414
+ },
415
+ {
416
+ "epoch": 2.66,
417
+ "learning_rate": 6.877781948838956e-06,
418
+ "loss": 0.5634,
419
+ "step": 6400
420
+ },
421
+ {
422
+ "epoch": 2.7,
423
+ "learning_rate": 6.8241540194133106e-06,
424
+ "loss": 0.5644,
425
+ "step": 6500
426
+ },
427
+ {
428
+ "epoch": 2.75,
429
+ "learning_rate": 6.770526089987666e-06,
430
+ "loss": 0.5702,
431
+ "step": 6600
432
+ },
433
+ {
434
+ "epoch": 2.79,
435
+ "learning_rate": 6.716898160562021e-06,
436
+ "loss": 0.5611,
437
+ "step": 6700
438
+ },
439
+ {
440
+ "epoch": 2.83,
441
+ "learning_rate": 6.663270231136376e-06,
442
+ "loss": 0.5636,
443
+ "step": 6800
444
+ },
445
+ {
446
+ "epoch": 2.87,
447
+ "learning_rate": 6.609642301710731e-06,
448
+ "loss": 0.5727,
449
+ "step": 6900
450
+ },
451
+ {
452
+ "epoch": 2.91,
453
+ "learning_rate": 6.556014372285086e-06,
454
+ "loss": 0.57,
455
+ "step": 7000
456
+ },
457
+ {
458
+ "epoch": 2.95,
459
+ "learning_rate": 6.5023864428594415e-06,
460
+ "loss": 0.5694,
461
+ "step": 7100
462
+ },
463
+ {
464
+ "epoch": 3.0,
465
+ "learning_rate": 6.4487585134337975e-06,
466
+ "loss": 0.5693,
467
+ "step": 7200
468
+ },
469
+ {
470
+ "epoch": 3.0,
471
+ "eval_accuracy": 0.6836710803569106,
472
+ "eval_f1": 0.6505847530504971,
473
+ "eval_loss": 0.5912550091743469,
474
+ "eval_matthews_correlation": 0.3156551616143383,
475
+ "eval_precision": 0.6687663151538548,
476
+ "eval_recall": 0.6475978499662974,
477
+ "eval_runtime": 19.5383,
478
+ "eval_samples_per_second": 1967.472,
479
+ "eval_steps_per_second": 15.406,
480
+ "step": 7209
481
+ },
482
+ {
483
+ "epoch": 3.04,
484
+ "learning_rate": 6.395130584008153e-06,
485
+ "loss": 0.545,
486
+ "step": 7300
487
+ },
488
+ {
489
+ "epoch": 3.08,
490
+ "learning_rate": 6.341502654582508e-06,
491
+ "loss": 0.5433,
492
+ "step": 7400
493
+ },
494
+ {
495
+ "epoch": 3.12,
496
+ "learning_rate": 6.287874725156862e-06,
497
+ "loss": 0.5439,
498
+ "step": 7500
499
+ },
500
+ {
501
+ "epoch": 3.16,
502
+ "learning_rate": 6.234246795731217e-06,
503
+ "loss": 0.5472,
504
+ "step": 7600
505
+ },
506
+ {
507
+ "epoch": 3.2,
508
+ "learning_rate": 6.1806188663055724e-06,
509
+ "loss": 0.5449,
510
+ "step": 7700
511
+ },
512
+ {
513
+ "epoch": 3.25,
514
+ "learning_rate": 6.126990936879928e-06,
515
+ "loss": 0.5406,
516
+ "step": 7800
517
+ },
518
+ {
519
+ "epoch": 3.29,
520
+ "learning_rate": 6.073363007454283e-06,
521
+ "loss": 0.5408,
522
+ "step": 7900
523
+ },
524
+ {
525
+ "epoch": 3.33,
526
+ "learning_rate": 6.019735078028638e-06,
527
+ "loss": 0.546,
528
+ "step": 8000
529
+ },
530
+ {
531
+ "epoch": 3.37,
532
+ "learning_rate": 5.96664342789725e-06,
533
+ "loss": 0.5438,
534
+ "step": 8100
535
+ },
536
+ {
537
+ "epoch": 3.41,
538
+ "learning_rate": 5.913015498471605e-06,
539
+ "loss": 0.5438,
540
+ "step": 8200
541
+ },
542
+ {
543
+ "epoch": 3.45,
544
+ "learning_rate": 5.85938756904596e-06,
545
+ "loss": 0.541,
546
+ "step": 8300
547
+ },
548
+ {
549
+ "epoch": 3.5,
550
+ "learning_rate": 5.805759639620315e-06,
551
+ "loss": 0.5413,
552
+ "step": 8400
553
+ },
554
+ {
555
+ "epoch": 3.54,
556
+ "learning_rate": 5.75213171019467e-06,
557
+ "loss": 0.5425,
558
+ "step": 8500
559
+ },
560
+ {
561
+ "epoch": 3.58,
562
+ "learning_rate": 5.698503780769025e-06,
563
+ "loss": 0.5472,
564
+ "step": 8600
565
+ },
566
+ {
567
+ "epoch": 3.62,
568
+ "learning_rate": 5.64487585134338e-06,
569
+ "loss": 0.5452,
570
+ "step": 8700
571
+ },
572
+ {
573
+ "epoch": 3.66,
574
+ "learning_rate": 5.591247921917735e-06,
575
+ "loss": 0.5476,
576
+ "step": 8800
577
+ },
578
+ {
579
+ "epoch": 3.7,
580
+ "learning_rate": 5.53761999249209e-06,
581
+ "loss": 0.5416,
582
+ "step": 8900
583
+ },
584
+ {
585
+ "epoch": 3.75,
586
+ "learning_rate": 5.4839920630664455e-06,
587
+ "loss": 0.5434,
588
+ "step": 9000
589
+ },
590
+ {
591
+ "epoch": 3.79,
592
+ "learning_rate": 5.430364133640801e-06,
593
+ "loss": 0.5396,
594
+ "step": 9100
595
+ },
596
+ {
597
+ "epoch": 3.83,
598
+ "learning_rate": 5.376736204215156e-06,
599
+ "loss": 0.5408,
600
+ "step": 9200
601
+ },
602
+ {
603
+ "epoch": 3.87,
604
+ "learning_rate": 5.323108274789511e-06,
605
+ "loss": 0.5444,
606
+ "step": 9300
607
+ },
608
+ {
609
+ "epoch": 3.91,
610
+ "learning_rate": 5.269480345363865e-06,
611
+ "loss": 0.5452,
612
+ "step": 9400
613
+ },
614
+ {
615
+ "epoch": 3.95,
616
+ "learning_rate": 5.2158524159382205e-06,
617
+ "loss": 0.5441,
618
+ "step": 9500
619
+ },
620
+ {
621
+ "epoch": 4.0,
622
+ "learning_rate": 5.162224486512576e-06,
623
+ "loss": 0.5482,
624
+ "step": 9600
625
+ },
626
+ {
627
+ "epoch": 4.0,
628
+ "eval_accuracy": 0.6914232199994798,
629
+ "eval_f1": 0.6679977550773093,
630
+ "eval_loss": 0.5883321166038513,
631
+ "eval_matthews_correlation": 0.3405779971081593,
632
+ "eval_precision": 0.6757783549327052,
633
+ "eval_recall": 0.6649710684779877,
634
+ "eval_runtime": 19.5254,
635
+ "eval_samples_per_second": 1968.773,
636
+ "eval_steps_per_second": 15.416,
637
+ "step": 9612
638
+ },
639
+ {
640
+ "epoch": 4.04,
641
+ "learning_rate": 5.108596557086931e-06,
642
+ "loss": 0.5226,
643
+ "step": 9700
644
+ },
645
+ {
646
+ "epoch": 4.08,
647
+ "learning_rate": 5.054968627661287e-06,
648
+ "loss": 0.5178,
649
+ "step": 9800
650
+ },
651
+ {
652
+ "epoch": 4.12,
653
+ "learning_rate": 5.001340698235642e-06,
654
+ "loss": 0.516,
655
+ "step": 9900
656
+ },
657
+ {
658
+ "epoch": 4.16,
659
+ "learning_rate": 4.947712768809997e-06,
660
+ "loss": 0.517,
661
+ "step": 10000
662
+ },
663
+ {
664
+ "epoch": 4.2,
665
+ "learning_rate": 4.894084839384351e-06,
666
+ "loss": 0.513,
667
+ "step": 10100
668
+ },
669
+ {
670
+ "epoch": 4.24,
671
+ "learning_rate": 4.8404569099587066e-06,
672
+ "loss": 0.5129,
673
+ "step": 10200
674
+ },
675
+ {
676
+ "epoch": 4.29,
677
+ "learning_rate": 4.786828980533062e-06,
678
+ "loss": 0.5172,
679
+ "step": 10300
680
+ },
681
+ {
682
+ "epoch": 4.33,
683
+ "learning_rate": 4.733201051107417e-06,
684
+ "loss": 0.5161,
685
+ "step": 10400
686
+ },
687
+ {
688
+ "epoch": 4.37,
689
+ "learning_rate": 4.680109400976029e-06,
690
+ "loss": 0.5233,
691
+ "step": 10500
692
+ },
693
+ {
694
+ "epoch": 4.41,
695
+ "learning_rate": 4.626481471550383e-06,
696
+ "loss": 0.5269,
697
+ "step": 10600
698
+ },
699
+ {
700
+ "epoch": 4.45,
701
+ "learning_rate": 4.572853542124739e-06,
702
+ "loss": 0.5159,
703
+ "step": 10700
704
+ },
705
+ {
706
+ "epoch": 4.49,
707
+ "learning_rate": 4.5192256126990944e-06,
708
+ "loss": 0.5223,
709
+ "step": 10800
710
+ },
711
+ {
712
+ "epoch": 4.54,
713
+ "learning_rate": 4.46559768327345e-06,
714
+ "loss": 0.5277,
715
+ "step": 10900
716
+ },
717
+ {
718
+ "epoch": 4.58,
719
+ "learning_rate": 4.411969753847805e-06,
720
+ "loss": 0.5174,
721
+ "step": 11000
722
+ },
723
+ {
724
+ "epoch": 4.62,
725
+ "learning_rate": 4.358341824422159e-06,
726
+ "loss": 0.5114,
727
+ "step": 11100
728
+ },
729
+ {
730
+ "epoch": 4.66,
731
+ "learning_rate": 4.304713894996514e-06,
732
+ "loss": 0.516,
733
+ "step": 11200
734
+ },
735
+ {
736
+ "epoch": 4.7,
737
+ "learning_rate": 4.251085965570869e-06,
738
+ "loss": 0.5178,
739
+ "step": 11300
740
+ },
741
+ {
742
+ "epoch": 4.74,
743
+ "learning_rate": 4.197458036145225e-06,
744
+ "loss": 0.5123,
745
+ "step": 11400
746
+ },
747
+ {
748
+ "epoch": 4.79,
749
+ "learning_rate": 4.14383010671958e-06,
750
+ "loss": 0.5218,
751
+ "step": 11500
752
+ },
753
+ {
754
+ "epoch": 4.83,
755
+ "learning_rate": 4.090202177293935e-06,
756
+ "loss": 0.5179,
757
+ "step": 11600
758
+ },
759
+ {
760
+ "epoch": 4.87,
761
+ "learning_rate": 4.03657424786829e-06,
762
+ "loss": 0.5106,
763
+ "step": 11700
764
+ },
765
+ {
766
+ "epoch": 4.91,
767
+ "learning_rate": 3.982946318442645e-06,
768
+ "loss": 0.5128,
769
+ "step": 11800
770
+ },
771
+ {
772
+ "epoch": 4.95,
773
+ "learning_rate": 3.929318389017e-06,
774
+ "loss": 0.5214,
775
+ "step": 11900
776
+ },
777
+ {
778
+ "epoch": 4.99,
779
+ "learning_rate": 3.8756904595913554e-06,
780
+ "loss": 0.5137,
781
+ "step": 12000
782
+ },
783
+ {
784
+ "epoch": 5.0,
785
+ "eval_accuracy": 0.6888998725319321,
786
+ "eval_f1": 0.66994574303398,
787
+ "eval_loss": 0.6052850484848022,
788
+ "eval_matthews_correlation": 0.3411524171162684,
789
+ "eval_precision": 0.6731406623368063,
790
+ "eval_recall": 0.6680497379030923,
791
+ "eval_runtime": 19.4983,
792
+ "eval_samples_per_second": 1971.501,
793
+ "eval_steps_per_second": 15.437,
794
+ "step": 12015
795
+ },
796
+ {
797
+ "epoch": 5.04,
798
+ "learning_rate": 3.822062530165711e-06,
799
+ "loss": 0.4906,
800
+ "step": 12100
801
+ },
802
+ {
803
+ "epoch": 5.08,
804
+ "learning_rate": 3.7684346007400657e-06,
805
+ "loss": 0.4772,
806
+ "step": 12200
807
+ },
808
+ {
809
+ "epoch": 5.12,
810
+ "learning_rate": 3.714806671314421e-06,
811
+ "loss": 0.4855,
812
+ "step": 12300
813
+ },
814
+ {
815
+ "epoch": 5.16,
816
+ "learning_rate": 3.661178741888776e-06,
817
+ "loss": 0.4922,
818
+ "step": 12400
819
+ },
820
+ {
821
+ "epoch": 5.2,
822
+ "learning_rate": 3.6080870917573873e-06,
823
+ "loss": 0.4957,
824
+ "step": 12500
825
+ },
826
+ {
827
+ "epoch": 5.24,
828
+ "learning_rate": 3.5544591623317425e-06,
829
+ "loss": 0.4885,
830
+ "step": 12600
831
+ },
832
+ {
833
+ "epoch": 5.29,
834
+ "learning_rate": 3.5008312329060976e-06,
835
+ "loss": 0.4903,
836
+ "step": 12700
837
+ },
838
+ {
839
+ "epoch": 5.33,
840
+ "learning_rate": 3.447203303480453e-06,
841
+ "loss": 0.501,
842
+ "step": 12800
843
+ },
844
+ {
845
+ "epoch": 5.37,
846
+ "learning_rate": 3.393575374054808e-06,
847
+ "loss": 0.4904,
848
+ "step": 12900
849
+ },
850
+ {
851
+ "epoch": 5.41,
852
+ "learning_rate": 3.339947444629163e-06,
853
+ "loss": 0.4944,
854
+ "step": 13000
855
+ },
856
+ {
857
+ "epoch": 5.45,
858
+ "learning_rate": 3.2863195152035182e-06,
859
+ "loss": 0.4914,
860
+ "step": 13100
861
+ },
862
+ {
863
+ "epoch": 5.49,
864
+ "learning_rate": 3.2326915857778734e-06,
865
+ "loss": 0.4967,
866
+ "step": 13200
867
+ },
868
+ {
869
+ "epoch": 5.53,
870
+ "learning_rate": 3.1790636563522286e-06,
871
+ "loss": 0.4959,
872
+ "step": 13300
873
+ },
874
+ {
875
+ "epoch": 5.58,
876
+ "learning_rate": 3.1254357269265833e-06,
877
+ "loss": 0.4961,
878
+ "step": 13400
879
+ },
880
+ {
881
+ "epoch": 5.62,
882
+ "learning_rate": 3.0718077975009384e-06,
883
+ "loss": 0.4871,
884
+ "step": 13500
885
+ },
886
+ {
887
+ "epoch": 5.66,
888
+ "learning_rate": 3.018179868075294e-06,
889
+ "loss": 0.4946,
890
+ "step": 13600
891
+ },
892
+ {
893
+ "epoch": 5.7,
894
+ "learning_rate": 2.964551938649649e-06,
895
+ "loss": 0.499,
896
+ "step": 13700
897
+ },
898
+ {
899
+ "epoch": 5.74,
900
+ "learning_rate": 2.9109240092240043e-06,
901
+ "loss": 0.5025,
902
+ "step": 13800
903
+ },
904
+ {
905
+ "epoch": 5.78,
906
+ "learning_rate": 2.857296079798359e-06,
907
+ "loss": 0.4913,
908
+ "step": 13900
909
+ },
910
+ {
911
+ "epoch": 5.83,
912
+ "learning_rate": 2.8036681503727142e-06,
913
+ "loss": 0.4954,
914
+ "step": 14000
915
+ },
916
+ {
917
+ "epoch": 5.87,
918
+ "learning_rate": 2.7500402209470694e-06,
919
+ "loss": 0.4912,
920
+ "step": 14100
921
+ },
922
+ {
923
+ "epoch": 5.91,
924
+ "learning_rate": 2.6964122915214245e-06,
925
+ "loss": 0.4986,
926
+ "step": 14200
927
+ },
928
+ {
929
+ "epoch": 5.95,
930
+ "learning_rate": 2.64278436209578e-06,
931
+ "loss": 0.4946,
932
+ "step": 14300
933
+ },
934
+ {
935
+ "epoch": 5.99,
936
+ "learning_rate": 2.5891564326701344e-06,
937
+ "loss": 0.4899,
938
+ "step": 14400
939
+ },
940
+ {
941
+ "epoch": 6.0,
942
+ "eval_accuracy": 0.6875211362867771,
943
+ "eval_f1": 0.6707290940742698,
944
+ "eval_loss": 0.6115381717681885,
945
+ "eval_matthews_correlation": 0.3418073762752951,
946
+ "eval_precision": 0.6721697718806073,
947
+ "eval_recall": 0.6696469147865567,
948
+ "eval_runtime": 19.4865,
949
+ "eval_samples_per_second": 1972.7,
950
+ "eval_steps_per_second": 15.447,
951
+ "step": 14418
952
+ }
953
+ ],
954
+ "logging_steps": 100,
955
+ "max_steps": 19224,
956
+ "num_train_epochs": 8,
957
+ "save_steps": 100,
958
+ "total_flos": 1.5076606030388746e+17,
959
+ "trial_name": null,
960
+ "trial_params": null
961
+ }
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/checkpoint-14418/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bdd25c87476dc400825fd50ea4d177748dfc3847d94a85580fc47c34d139ed98
3
+ size 5457
EXC/len2_5120/lr1e-5_wd0.01_wr0.03_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.03_ep8_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6273797750473022, "eval_accuracy": 0.6815379412606332, "eval_f1": 0.663539015826999, "eval_matthews_correlation": 0.3280975384651822, "eval_precision": 0.6661959462081748, "eval_recall": 0.6619293328190948, "eval_runtime": 16.9163, "eval_samples_per_second": 2272.418, "eval_steps_per_second": 17.793, "epoch": 8.0}
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.06_ep10_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6238753795623779, "eval_accuracy": 0.6824484274602638, "eval_f1": 0.6565606427200865, "eval_matthews_correlation": 0.3203652072044157, "eval_precision": 0.6670074743441414, "eval_recall": 0.6536366357107426, "eval_runtime": 16.8488, "eval_samples_per_second": 2281.525, "eval_steps_per_second": 17.865, "epoch": 10.0}
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.06_ep6_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6174302101135254, "eval_accuracy": 0.68276059415728, "eval_f1": 0.6624750290914845, "eval_matthews_correlation": 0.32733391673561507, "eval_precision": 0.6671640464977454, "eval_recall": 0.6602430296620686, "eval_runtime": 17.061, "eval_samples_per_second": 2253.157, "eval_steps_per_second": 17.643, "epoch": 6.0}
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-100000",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 3072,
13
+ "layer_norm_eps": 1e-12,
14
+ "max_length": 512,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "bert",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 12,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "problem_type": "single_label_classification",
22
+ "torch_dtype": "float32",
23
+ "transformers_version": "4.35.2",
24
+ "type_vocab_size": 2,
25
+ "use_cache": true,
26
+ "vocab_size": 5120
27
+ }
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05219300eb53dfbafad5bfe96d6a7db50879d841aa7fd4055b00d86228e85efb
3
+ size 359923616
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2b0ee7b32c5b50cd365264ebbfe1b0b6e9fb9d2b390d279443680a194b51d90
3
+ size 719968907
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c4cf27094e4a19512f3231b7a80ef8846f13425bcf221f6799a595add06ada10
3
+ size 14645
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:64b917e62d2358de84b93a633a784fa04d640b4a5b5dc8e82a311afcaaeded28
3
+ size 1465
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/tokenizer_config.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {},
3
+ "cache_dir": null,
4
+ "clean_up_tokenization_spaces": true,
5
+ "cls_token": "[CLS]",
6
+ "mask_token": "[MASK]",
7
+ "model_max_length": 200,
8
+ "pad_token": "[PAD]",
9
+ "padding_side": "right",
10
+ "sep_token": "[SEP]",
11
+ "tokenizer_class": "PreTrainedTokenizerFast",
12
+ "trust_remote_code": true,
13
+ "unk_token": "[UNK]",
14
+ "use_fast": true
15
+ }
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/trainer_state.json ADDED
@@ -0,0 +1,804 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6720004699115427,
3
+ "best_model_checkpoint": "/home/n5huang/dna_token/Finetune-species/super_binary_out_tune_1gpu/EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015",
4
+ "epoch": 5.0,
5
+ "eval_steps": 100,
6
+ "global_step": 12015,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.04,
13
+ "learning_rate": 8.665511265164646e-07,
14
+ "loss": 0.6972,
15
+ "step": 100
16
+ },
17
+ {
18
+ "epoch": 0.08,
19
+ "learning_rate": 1.7331022530329292e-06,
20
+ "loss": 0.6753,
21
+ "step": 200
22
+ },
23
+ {
24
+ "epoch": 0.12,
25
+ "learning_rate": 2.599653379549394e-06,
26
+ "loss": 0.6655,
27
+ "step": 300
28
+ },
29
+ {
30
+ "epoch": 0.17,
31
+ "learning_rate": 3.4662045060658585e-06,
32
+ "loss": 0.6593,
33
+ "step": 400
34
+ },
35
+ {
36
+ "epoch": 0.21,
37
+ "learning_rate": 4.332755632582323e-06,
38
+ "loss": 0.6501,
39
+ "step": 500
40
+ },
41
+ {
42
+ "epoch": 0.25,
43
+ "learning_rate": 5.199306759098788e-06,
44
+ "loss": 0.6523,
45
+ "step": 600
46
+ },
47
+ {
48
+ "epoch": 0.29,
49
+ "learning_rate": 6.065857885615252e-06,
50
+ "loss": 0.6478,
51
+ "step": 700
52
+ },
53
+ {
54
+ "epoch": 0.33,
55
+ "learning_rate": 6.932409012131717e-06,
56
+ "loss": 0.6414,
57
+ "step": 800
58
+ },
59
+ {
60
+ "epoch": 0.37,
61
+ "learning_rate": 7.79896013864818e-06,
62
+ "loss": 0.6433,
63
+ "step": 900
64
+ },
65
+ {
66
+ "epoch": 0.42,
67
+ "learning_rate": 8.665511265164645e-06,
68
+ "loss": 0.6411,
69
+ "step": 1000
70
+ },
71
+ {
72
+ "epoch": 0.46,
73
+ "learning_rate": 9.532062391681109e-06,
74
+ "loss": 0.6377,
75
+ "step": 1100
76
+ },
77
+ {
78
+ "epoch": 0.5,
79
+ "learning_rate": 9.974543442169342e-06,
80
+ "loss": 0.6437,
81
+ "step": 1200
82
+ },
83
+ {
84
+ "epoch": 0.54,
85
+ "learning_rate": 9.919203099059215e-06,
86
+ "loss": 0.6299,
87
+ "step": 1300
88
+ },
89
+ {
90
+ "epoch": 0.58,
91
+ "learning_rate": 9.863862755949087e-06,
92
+ "loss": 0.6307,
93
+ "step": 1400
94
+ },
95
+ {
96
+ "epoch": 0.62,
97
+ "learning_rate": 9.80852241283896e-06,
98
+ "loss": 0.6346,
99
+ "step": 1500
100
+ },
101
+ {
102
+ "epoch": 0.67,
103
+ "learning_rate": 9.753182069728832e-06,
104
+ "loss": 0.6321,
105
+ "step": 1600
106
+ },
107
+ {
108
+ "epoch": 0.71,
109
+ "learning_rate": 9.697841726618706e-06,
110
+ "loss": 0.6209,
111
+ "step": 1700
112
+ },
113
+ {
114
+ "epoch": 0.75,
115
+ "learning_rate": 9.642501383508579e-06,
116
+ "loss": 0.6233,
117
+ "step": 1800
118
+ },
119
+ {
120
+ "epoch": 0.79,
121
+ "learning_rate": 9.587161040398452e-06,
122
+ "loss": 0.6249,
123
+ "step": 1900
124
+ },
125
+ {
126
+ "epoch": 0.83,
127
+ "learning_rate": 9.531820697288324e-06,
128
+ "loss": 0.6116,
129
+ "step": 2000
130
+ },
131
+ {
132
+ "epoch": 0.87,
133
+ "learning_rate": 9.476480354178197e-06,
134
+ "loss": 0.6208,
135
+ "step": 2100
136
+ },
137
+ {
138
+ "epoch": 0.92,
139
+ "learning_rate": 9.421140011068069e-06,
140
+ "loss": 0.6218,
141
+ "step": 2200
142
+ },
143
+ {
144
+ "epoch": 0.96,
145
+ "learning_rate": 9.365799667957943e-06,
146
+ "loss": 0.6199,
147
+ "step": 2300
148
+ },
149
+ {
150
+ "epoch": 1.0,
151
+ "learning_rate": 9.310459324847814e-06,
152
+ "loss": 0.6131,
153
+ "step": 2400
154
+ },
155
+ {
156
+ "epoch": 1.0,
157
+ "eval_accuracy": 0.6629380088967509,
158
+ "eval_f1": 0.6328647862653718,
159
+ "eval_loss": 0.6053866744041443,
160
+ "eval_matthews_correlation": 0.2740289650446321,
161
+ "eval_precision": 0.6437006862268453,
162
+ "eval_recall": 0.6306393790717404,
163
+ "eval_runtime": 19.4966,
164
+ "eval_samples_per_second": 1971.675,
165
+ "eval_steps_per_second": 15.439,
166
+ "step": 2403
167
+ },
168
+ {
169
+ "epoch": 1.04,
170
+ "learning_rate": 9.255118981737688e-06,
171
+ "loss": 0.6047,
172
+ "step": 2500
173
+ },
174
+ {
175
+ "epoch": 1.08,
176
+ "learning_rate": 9.19977863862756e-06,
177
+ "loss": 0.6036,
178
+ "step": 2600
179
+ },
180
+ {
181
+ "epoch": 1.12,
182
+ "learning_rate": 9.144438295517433e-06,
183
+ "loss": 0.6019,
184
+ "step": 2700
185
+ },
186
+ {
187
+ "epoch": 1.17,
188
+ "learning_rate": 9.089097952407306e-06,
189
+ "loss": 0.6012,
190
+ "step": 2800
191
+ },
192
+ {
193
+ "epoch": 1.21,
194
+ "learning_rate": 9.033757609297178e-06,
195
+ "loss": 0.6038,
196
+ "step": 2900
197
+ },
198
+ {
199
+ "epoch": 1.25,
200
+ "learning_rate": 8.978417266187051e-06,
201
+ "loss": 0.606,
202
+ "step": 3000
203
+ },
204
+ {
205
+ "epoch": 1.29,
206
+ "learning_rate": 8.923076923076925e-06,
207
+ "loss": 0.596,
208
+ "step": 3100
209
+ },
210
+ {
211
+ "epoch": 1.33,
212
+ "learning_rate": 8.867736579966796e-06,
213
+ "loss": 0.5903,
214
+ "step": 3200
215
+ },
216
+ {
217
+ "epoch": 1.37,
218
+ "learning_rate": 8.81239623685667e-06,
219
+ "loss": 0.6024,
220
+ "step": 3300
221
+ },
222
+ {
223
+ "epoch": 1.41,
224
+ "learning_rate": 8.757055893746541e-06,
225
+ "loss": 0.596,
226
+ "step": 3400
227
+ },
228
+ {
229
+ "epoch": 1.46,
230
+ "learning_rate": 8.701715550636415e-06,
231
+ "loss": 0.6032,
232
+ "step": 3500
233
+ },
234
+ {
235
+ "epoch": 1.5,
236
+ "learning_rate": 8.646375207526288e-06,
237
+ "loss": 0.6058,
238
+ "step": 3600
239
+ },
240
+ {
241
+ "epoch": 1.54,
242
+ "learning_rate": 8.59103486441616e-06,
243
+ "loss": 0.5976,
244
+ "step": 3700
245
+ },
246
+ {
247
+ "epoch": 1.58,
248
+ "learning_rate": 8.535694521306033e-06,
249
+ "loss": 0.5962,
250
+ "step": 3800
251
+ },
252
+ {
253
+ "epoch": 1.62,
254
+ "learning_rate": 8.480354178195905e-06,
255
+ "loss": 0.5969,
256
+ "step": 3900
257
+ },
258
+ {
259
+ "epoch": 1.66,
260
+ "learning_rate": 8.425013835085778e-06,
261
+ "loss": 0.5941,
262
+ "step": 4000
263
+ },
264
+ {
265
+ "epoch": 1.71,
266
+ "learning_rate": 8.36967349197565e-06,
267
+ "loss": 0.5979,
268
+ "step": 4100
269
+ },
270
+ {
271
+ "epoch": 1.75,
272
+ "learning_rate": 8.314333148865523e-06,
273
+ "loss": 0.5945,
274
+ "step": 4200
275
+ },
276
+ {
277
+ "epoch": 1.79,
278
+ "learning_rate": 8.258992805755395e-06,
279
+ "loss": 0.5977,
280
+ "step": 4300
281
+ },
282
+ {
283
+ "epoch": 1.83,
284
+ "learning_rate": 8.20365246264527e-06,
285
+ "loss": 0.5881,
286
+ "step": 4400
287
+ },
288
+ {
289
+ "epoch": 1.87,
290
+ "learning_rate": 8.148312119535142e-06,
291
+ "loss": 0.5963,
292
+ "step": 4500
293
+ },
294
+ {
295
+ "epoch": 1.91,
296
+ "learning_rate": 8.092971776425015e-06,
297
+ "loss": 0.6023,
298
+ "step": 4600
299
+ },
300
+ {
301
+ "epoch": 1.96,
302
+ "learning_rate": 8.037631433314887e-06,
303
+ "loss": 0.5878,
304
+ "step": 4700
305
+ },
306
+ {
307
+ "epoch": 2.0,
308
+ "learning_rate": 7.98229109020476e-06,
309
+ "loss": 0.5852,
310
+ "step": 4800
311
+ },
312
+ {
313
+ "epoch": 2.0,
314
+ "eval_accuracy": 0.6773236908509144,
315
+ "eval_f1": 0.6553082630676323,
316
+ "eval_loss": 0.5939255952835083,
317
+ "eval_matthews_correlation": 0.31322103119279804,
318
+ "eval_precision": 0.6602451302320906,
319
+ "eval_recall": 0.6530583398063112,
320
+ "eval_runtime": 19.5563,
321
+ "eval_samples_per_second": 1965.659,
322
+ "eval_steps_per_second": 15.391,
323
+ "step": 4806
324
+ },
325
+ {
326
+ "epoch": 2.04,
327
+ "learning_rate": 7.926950747094632e-06,
328
+ "loss": 0.5712,
329
+ "step": 4900
330
+ },
331
+ {
332
+ "epoch": 2.08,
333
+ "learning_rate": 7.871610403984505e-06,
334
+ "loss": 0.58,
335
+ "step": 5000
336
+ },
337
+ {
338
+ "epoch": 2.12,
339
+ "learning_rate": 7.816270060874379e-06,
340
+ "loss": 0.5667,
341
+ "step": 5100
342
+ },
343
+ {
344
+ "epoch": 2.16,
345
+ "learning_rate": 7.76092971776425e-06,
346
+ "loss": 0.5673,
347
+ "step": 5200
348
+ },
349
+ {
350
+ "epoch": 2.21,
351
+ "learning_rate": 7.705589374654124e-06,
352
+ "loss": 0.5721,
353
+ "step": 5300
354
+ },
355
+ {
356
+ "epoch": 2.25,
357
+ "learning_rate": 7.650249031543996e-06,
358
+ "loss": 0.5755,
359
+ "step": 5400
360
+ },
361
+ {
362
+ "epoch": 2.29,
363
+ "learning_rate": 7.594908688433868e-06,
364
+ "loss": 0.5703,
365
+ "step": 5500
366
+ },
367
+ {
368
+ "epoch": 2.33,
369
+ "learning_rate": 7.5395683453237415e-06,
370
+ "loss": 0.5718,
371
+ "step": 5600
372
+ },
373
+ {
374
+ "epoch": 2.37,
375
+ "learning_rate": 7.484228002213614e-06,
376
+ "loss": 0.5696,
377
+ "step": 5700
378
+ },
379
+ {
380
+ "epoch": 2.41,
381
+ "learning_rate": 7.4288876591034875e-06,
382
+ "loss": 0.5718,
383
+ "step": 5800
384
+ },
385
+ {
386
+ "epoch": 2.46,
387
+ "learning_rate": 7.37354731599336e-06,
388
+ "loss": 0.5729,
389
+ "step": 5900
390
+ },
391
+ {
392
+ "epoch": 2.5,
393
+ "learning_rate": 7.3182069728832326e-06,
394
+ "loss": 0.5789,
395
+ "step": 6000
396
+ },
397
+ {
398
+ "epoch": 2.54,
399
+ "learning_rate": 7.263420033204206e-06,
400
+ "loss": 0.5674,
401
+ "step": 6100
402
+ },
403
+ {
404
+ "epoch": 2.58,
405
+ "learning_rate": 7.208079690094079e-06,
406
+ "loss": 0.5689,
407
+ "step": 6200
408
+ },
409
+ {
410
+ "epoch": 2.62,
411
+ "learning_rate": 7.152739346983952e-06,
412
+ "loss": 0.5699,
413
+ "step": 6300
414
+ },
415
+ {
416
+ "epoch": 2.66,
417
+ "learning_rate": 7.097399003873825e-06,
418
+ "loss": 0.5654,
419
+ "step": 6400
420
+ },
421
+ {
422
+ "epoch": 2.7,
423
+ "learning_rate": 7.042058660763698e-06,
424
+ "loss": 0.5637,
425
+ "step": 6500
426
+ },
427
+ {
428
+ "epoch": 2.75,
429
+ "learning_rate": 6.98671831765357e-06,
430
+ "loss": 0.5707,
431
+ "step": 6600
432
+ },
433
+ {
434
+ "epoch": 2.79,
435
+ "learning_rate": 6.931377974543443e-06,
436
+ "loss": 0.5632,
437
+ "step": 6700
438
+ },
439
+ {
440
+ "epoch": 2.83,
441
+ "learning_rate": 6.8760376314333155e-06,
442
+ "loss": 0.5633,
443
+ "step": 6800
444
+ },
445
+ {
446
+ "epoch": 2.87,
447
+ "learning_rate": 6.820697288323188e-06,
448
+ "loss": 0.5717,
449
+ "step": 6900
450
+ },
451
+ {
452
+ "epoch": 2.91,
453
+ "learning_rate": 6.765356945213061e-06,
454
+ "loss": 0.5725,
455
+ "step": 7000
456
+ },
457
+ {
458
+ "epoch": 2.95,
459
+ "learning_rate": 6.710016602102933e-06,
460
+ "loss": 0.5669,
461
+ "step": 7100
462
+ },
463
+ {
464
+ "epoch": 3.0,
465
+ "learning_rate": 6.654676258992806e-06,
466
+ "loss": 0.5718,
467
+ "step": 7200
468
+ },
469
+ {
470
+ "epoch": 3.0,
471
+ "eval_accuracy": 0.6830467469628781,
472
+ "eval_f1": 0.6492722531600496,
473
+ "eval_loss": 0.5922620296478271,
474
+ "eval_matthews_correlation": 0.3138313340598382,
475
+ "eval_precision": 0.6682186370297363,
476
+ "eval_recall": 0.6463721677586287,
477
+ "eval_runtime": 19.5309,
478
+ "eval_samples_per_second": 1968.217,
479
+ "eval_steps_per_second": 15.411,
480
+ "step": 7209
481
+ },
482
+ {
483
+ "epoch": 3.04,
484
+ "learning_rate": 6.599335915882678e-06,
485
+ "loss": 0.544,
486
+ "step": 7300
487
+ },
488
+ {
489
+ "epoch": 3.08,
490
+ "learning_rate": 6.543995572772552e-06,
491
+ "loss": 0.5428,
492
+ "step": 7400
493
+ },
494
+ {
495
+ "epoch": 3.12,
496
+ "learning_rate": 6.488655229662424e-06,
497
+ "loss": 0.5442,
498
+ "step": 7500
499
+ },
500
+ {
501
+ "epoch": 3.16,
502
+ "learning_rate": 6.4333148865522976e-06,
503
+ "loss": 0.545,
504
+ "step": 7600
505
+ },
506
+ {
507
+ "epoch": 3.2,
508
+ "learning_rate": 6.37797454344217e-06,
509
+ "loss": 0.5444,
510
+ "step": 7700
511
+ },
512
+ {
513
+ "epoch": 3.25,
514
+ "learning_rate": 6.322634200332043e-06,
515
+ "loss": 0.5383,
516
+ "step": 7800
517
+ },
518
+ {
519
+ "epoch": 3.29,
520
+ "learning_rate": 6.267293857221915e-06,
521
+ "loss": 0.5404,
522
+ "step": 7900
523
+ },
524
+ {
525
+ "epoch": 3.33,
526
+ "learning_rate": 6.2119535141117886e-06,
527
+ "loss": 0.5435,
528
+ "step": 8000
529
+ },
530
+ {
531
+ "epoch": 3.37,
532
+ "learning_rate": 6.157166574432762e-06,
533
+ "loss": 0.5459,
534
+ "step": 8100
535
+ },
536
+ {
537
+ "epoch": 3.41,
538
+ "learning_rate": 6.101826231322635e-06,
539
+ "loss": 0.5454,
540
+ "step": 8200
541
+ },
542
+ {
543
+ "epoch": 3.45,
544
+ "learning_rate": 6.046485888212508e-06,
545
+ "loss": 0.541,
546
+ "step": 8300
547
+ },
548
+ {
549
+ "epoch": 3.5,
550
+ "learning_rate": 5.9911455451023805e-06,
551
+ "loss": 0.5433,
552
+ "step": 8400
553
+ },
554
+ {
555
+ "epoch": 3.54,
556
+ "learning_rate": 5.935805201992253e-06,
557
+ "loss": 0.5441,
558
+ "step": 8500
559
+ },
560
+ {
561
+ "epoch": 3.58,
562
+ "learning_rate": 5.880464858882126e-06,
563
+ "loss": 0.55,
564
+ "step": 8600
565
+ },
566
+ {
567
+ "epoch": 3.62,
568
+ "learning_rate": 5.825124515771998e-06,
569
+ "loss": 0.5439,
570
+ "step": 8700
571
+ },
572
+ {
573
+ "epoch": 3.66,
574
+ "learning_rate": 5.769784172661871e-06,
575
+ "loss": 0.5472,
576
+ "step": 8800
577
+ },
578
+ {
579
+ "epoch": 3.7,
580
+ "learning_rate": 5.714443829551743e-06,
581
+ "loss": 0.5409,
582
+ "step": 8900
583
+ },
584
+ {
585
+ "epoch": 3.75,
586
+ "learning_rate": 5.659103486441616e-06,
587
+ "loss": 0.542,
588
+ "step": 9000
589
+ },
590
+ {
591
+ "epoch": 3.79,
592
+ "learning_rate": 5.603763143331489e-06,
593
+ "loss": 0.5407,
594
+ "step": 9100
595
+ },
596
+ {
597
+ "epoch": 3.83,
598
+ "learning_rate": 5.548422800221362e-06,
599
+ "loss": 0.5392,
600
+ "step": 9200
601
+ },
602
+ {
603
+ "epoch": 3.87,
604
+ "learning_rate": 5.493082457111234e-06,
605
+ "loss": 0.5459,
606
+ "step": 9300
607
+ },
608
+ {
609
+ "epoch": 3.91,
610
+ "learning_rate": 5.437742114001108e-06,
611
+ "loss": 0.5466,
612
+ "step": 9400
613
+ },
614
+ {
615
+ "epoch": 3.95,
616
+ "learning_rate": 5.38240177089098e-06,
617
+ "loss": 0.545,
618
+ "step": 9500
619
+ },
620
+ {
621
+ "epoch": 4.0,
622
+ "learning_rate": 5.327061427780853e-06,
623
+ "loss": 0.548,
624
+ "step": 9600
625
+ },
626
+ {
627
+ "epoch": 4.0,
628
+ "eval_accuracy": 0.6939465674670274,
629
+ "eval_f1": 0.6660740529057907,
630
+ "eval_loss": 0.5900425910949707,
631
+ "eval_matthews_correlation": 0.34161097728078355,
632
+ "eval_precision": 0.679549011764573,
633
+ "eval_recall": 0.6624877500742639,
634
+ "eval_runtime": 19.5092,
635
+ "eval_samples_per_second": 1970.403,
636
+ "eval_steps_per_second": 15.429,
637
+ "step": 9612
638
+ },
639
+ {
640
+ "epoch": 4.04,
641
+ "learning_rate": 5.271721084670725e-06,
642
+ "loss": 0.5242,
643
+ "step": 9700
644
+ },
645
+ {
646
+ "epoch": 4.08,
647
+ "learning_rate": 5.216380741560599e-06,
648
+ "loss": 0.5158,
649
+ "step": 9800
650
+ },
651
+ {
652
+ "epoch": 4.12,
653
+ "learning_rate": 5.161040398450471e-06,
654
+ "loss": 0.5197,
655
+ "step": 9900
656
+ },
657
+ {
658
+ "epoch": 4.16,
659
+ "learning_rate": 5.105700055340344e-06,
660
+ "loss": 0.5146,
661
+ "step": 10000
662
+ },
663
+ {
664
+ "epoch": 4.2,
665
+ "learning_rate": 5.050913115661318e-06,
666
+ "loss": 0.5165,
667
+ "step": 10100
668
+ },
669
+ {
670
+ "epoch": 4.24,
671
+ "learning_rate": 4.995572772551191e-06,
672
+ "loss": 0.5105,
673
+ "step": 10200
674
+ },
675
+ {
676
+ "epoch": 4.29,
677
+ "learning_rate": 4.940232429441063e-06,
678
+ "loss": 0.5179,
679
+ "step": 10300
680
+ },
681
+ {
682
+ "epoch": 4.33,
683
+ "learning_rate": 4.884892086330936e-06,
684
+ "loss": 0.5134,
685
+ "step": 10400
686
+ },
687
+ {
688
+ "epoch": 4.37,
689
+ "learning_rate": 4.829551743220808e-06,
690
+ "loss": 0.5211,
691
+ "step": 10500
692
+ },
693
+ {
694
+ "epoch": 4.41,
695
+ "learning_rate": 4.774211400110681e-06,
696
+ "loss": 0.5271,
697
+ "step": 10600
698
+ },
699
+ {
700
+ "epoch": 4.45,
701
+ "learning_rate": 4.718871057000553e-06,
702
+ "loss": 0.5152,
703
+ "step": 10700
704
+ },
705
+ {
706
+ "epoch": 4.49,
707
+ "learning_rate": 4.663530713890427e-06,
708
+ "loss": 0.5168,
709
+ "step": 10800
710
+ },
711
+ {
712
+ "epoch": 4.54,
713
+ "learning_rate": 4.608190370780299e-06,
714
+ "loss": 0.5234,
715
+ "step": 10900
716
+ },
717
+ {
718
+ "epoch": 4.58,
719
+ "learning_rate": 4.552850027670172e-06,
720
+ "loss": 0.5184,
721
+ "step": 11000
722
+ },
723
+ {
724
+ "epoch": 4.62,
725
+ "learning_rate": 4.497509684560044e-06,
726
+ "loss": 0.513,
727
+ "step": 11100
728
+ },
729
+ {
730
+ "epoch": 4.66,
731
+ "learning_rate": 4.442169341449918e-06,
732
+ "loss": 0.5139,
733
+ "step": 11200
734
+ },
735
+ {
736
+ "epoch": 4.7,
737
+ "learning_rate": 4.38682899833979e-06,
738
+ "loss": 0.515,
739
+ "step": 11300
740
+ },
741
+ {
742
+ "epoch": 4.74,
743
+ "learning_rate": 4.331488655229663e-06,
744
+ "loss": 0.5097,
745
+ "step": 11400
746
+ },
747
+ {
748
+ "epoch": 4.79,
749
+ "learning_rate": 4.276148312119535e-06,
750
+ "loss": 0.5224,
751
+ "step": 11500
752
+ },
753
+ {
754
+ "epoch": 4.83,
755
+ "learning_rate": 4.220807969009409e-06,
756
+ "loss": 0.5202,
757
+ "step": 11600
758
+ },
759
+ {
760
+ "epoch": 4.87,
761
+ "learning_rate": 4.165467625899281e-06,
762
+ "loss": 0.5109,
763
+ "step": 11700
764
+ },
765
+ {
766
+ "epoch": 4.91,
767
+ "learning_rate": 4.110127282789154e-06,
768
+ "loss": 0.515,
769
+ "step": 11800
770
+ },
771
+ {
772
+ "epoch": 4.95,
773
+ "learning_rate": 4.054786939679026e-06,
774
+ "loss": 0.5217,
775
+ "step": 11900
776
+ },
777
+ {
778
+ "epoch": 4.99,
779
+ "learning_rate": 3.999446596568899e-06,
780
+ "loss": 0.5137,
781
+ "step": 12000
782
+ },
783
+ {
784
+ "epoch": 5.0,
785
+ "eval_accuracy": 0.6893421086860383,
786
+ "eval_f1": 0.6720004699115427,
787
+ "eval_loss": 0.606058657169342,
788
+ "eval_matthews_correlation": 0.34456273934437087,
789
+ "eval_precision": 0.6739306878694332,
790
+ "eval_recall": 0.6706476913286581,
791
+ "eval_runtime": 19.5202,
792
+ "eval_samples_per_second": 1969.297,
793
+ "eval_steps_per_second": 15.42,
794
+ "step": 12015
795
+ }
796
+ ],
797
+ "logging_steps": 100,
798
+ "max_steps": 19224,
799
+ "num_train_epochs": 8,
800
+ "save_steps": 100,
801
+ "total_flos": 1.2563838358657288e+17,
802
+ "trial_name": null,
803
+ "trial_params": null
804
+ }
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/checkpoint-12015/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad327b54cc190e55a5a1080b15ee5f9a17da9035ed5ddf3c80e4bf0453417657
3
+ size 5457
EXC/len2_5120/lr1e-5_wd0.01_wr0.06_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.06_ep8_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6329239010810852, "eval_accuracy": 0.6886137197263339, "eval_f1": 0.6652727224953743, "eval_matthews_correlation": 0.33579720394183793, "eval_precision": 0.6736780661849995, "eval_recall": 0.6623114602955191, "eval_runtime": 16.8677, "eval_samples_per_second": 2278.967, "eval_steps_per_second": 17.845, "epoch": 8.0}
EXC/len2_5120/lr1e-5_wd0.01_wr0.10_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.10_ep10_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.7077308893203735, "eval_accuracy": 0.673629718269556, "eval_f1": 0.6504402844866973, "eval_matthews_correlation": 0.30491593436219494, "eval_precision": 0.656984849448054, "eval_recall": 0.6480616240275071, "eval_runtime": 16.7915, "eval_samples_per_second": 2289.316, "eval_steps_per_second": 17.926, "epoch": 10.0}
EXC/len2_5120/lr1e-5_wd0.01_wr0.10_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.10_ep6_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6040997505187988, "eval_accuracy": 0.6814078718035431, "eval_f1": 0.6538742486713068, "eval_matthews_correlation": 0.3166627650835211, "eval_precision": 0.666073868004726, "eval_recall": 0.6509498574265273, "eval_runtime": 16.905, "eval_samples_per_second": 2273.941, "eval_steps_per_second": 17.805, "epoch": 6.0}
EXC/len2_5120/lr1e-5_wd0.01_wr0.10_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.01_wr0.10_ep8_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6166349053382874, "eval_accuracy": 0.6806274550610025, "eval_f1": 0.6590429074331704, "eval_matthews_correlation": 0.321291216390383, "eval_precision": 0.6647555373558618, "eval_recall": 0.6566382037689054, "eval_runtime": 16.9797, "eval_samples_per_second": 2263.932, "eval_steps_per_second": 17.727, "epoch": 8.0}
EXC/len2_5120/lr1e-5_wd0.05_wr0.03_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.03_ep10_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.7454449534416199, "eval_accuracy": 0.6747483156005307, "eval_f1": 0.6528827114951441, "eval_matthews_correlation": 0.3088522152023034, "eval_precision": 0.6583122851450061, "eval_recall": 0.650635326165619, "eval_runtime": 16.793, "eval_samples_per_second": 2289.109, "eval_steps_per_second": 17.924, "epoch": 10.0}
EXC/len2_5120/lr1e-5_wd0.05_wr0.03_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.03_ep6_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6153496503829956, "eval_accuracy": 0.6841393304024349, "eval_f1": 0.6587833415200854, "eval_matthews_correlation": 0.3244230576416508, "eval_precision": 0.6688670237589955, "eval_recall": 0.6558183444977534, "eval_runtime": 16.8358, "eval_samples_per_second": 2283.284, "eval_steps_per_second": 17.879, "epoch": 6.0}
EXC/len2_5120/lr1e-5_wd0.05_wr0.03_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.03_ep8_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6283503770828247, "eval_accuracy": 0.6784422881818891, "eval_f1": 0.6578341351115302, "eval_matthews_correlation": 0.31806493804358066, "eval_precision": 0.6624568418970849, "eval_recall": 0.6556802773452197, "eval_runtime": 17.0657, "eval_samples_per_second": 2252.531, "eval_steps_per_second": 17.638, "epoch": 8.0}
EXC/len2_5120/lr1e-5_wd0.05_wr0.06_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.06_ep10_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6170521378517151, "eval_accuracy": 0.6815119273692152, "eval_f1": 0.6559819047010903, "eval_matthews_correlation": 0.3187497150602839, "eval_precision": 0.6658907093435741, "eval_recall": 0.6531149352080152, "eval_runtime": 16.8352, "eval_samples_per_second": 2283.372, "eval_steps_per_second": 17.879, "epoch": 10.0}
EXC/len2_5120/lr1e-5_wd0.05_wr0.06_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.06_ep6_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6064364314079285, "eval_accuracy": 0.6826045108087719, "eval_f1": 0.6468208617878324, "eval_matthews_correlation": 0.31353660793740507, "eval_precision": 0.6701359740788075, "eval_recall": 0.6444509385054551, "eval_runtime": 16.8139, "eval_samples_per_second": 2286.27, "eval_steps_per_second": 17.902, "epoch": 6.0}
EXC/len2_5120/lr1e-5_wd0.05_wr0.06_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.06_ep8_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6228387951850891, "eval_accuracy": 0.6841913581852709, "eval_f1": 0.6616551349850848, "eval_matthews_correlation": 0.327506067522693, "eval_precision": 0.6686757030958517, "eval_recall": 0.6589740287064745, "eval_runtime": 16.8073, "eval_samples_per_second": 2287.166, "eval_steps_per_second": 17.909, "epoch": 8.0}
EXC/len2_5120/lr1e-5_wd0.05_wr0.10_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.10_ep10_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6408050656318665, "eval_accuracy": 0.6750084545147108, "eval_f1": 0.6526051749871193, "eval_matthews_correlation": 0.30871339025102856, "eval_precision": 0.6585511257793683, "eval_recall": 0.650273227092856, "eval_runtime": 16.8428, "eval_samples_per_second": 2282.336, "eval_steps_per_second": 17.871, "epoch": 10.0}
EXC/len2_5120/lr1e-5_wd0.05_wr0.10_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.10_ep6_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6093072295188904, "eval_accuracy": 0.6733175515725397, "eval_f1": 0.6488196050892268, "eval_matthews_correlation": 0.3027561442739076, "eval_precision": 0.6565947478354545, "eval_recall": 0.6463351807174249, "eval_runtime": 16.7796, "eval_samples_per_second": 2290.94, "eval_steps_per_second": 17.938, "epoch": 6.0}
EXC/len2_5120/lr1e-5_wd0.05_wr0.10_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.05_wr0.10_ep8_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6760736107826233, "eval_accuracy": 0.6821622746546656, "eval_f1": 0.6571599383251296, "eval_matthews_correlation": 0.3206364142139045, "eval_precision": 0.6665716763488807, "eval_recall": 0.6542995069351137, "eval_runtime": 16.781, "eval_samples_per_second": 2290.746, "eval_steps_per_second": 17.937, "epoch": 8.0}
EXC/len2_5120/lr1e-5_wd0.0_wr0.03_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.0_wr0.03_ep10_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6252485513687134, "eval_accuracy": 0.6758929268229235, "eval_f1": 0.6582766221795284, "eval_matthews_correlation": 0.3172649278524918, "eval_precision": 0.6603397200966195, "eval_recall": 0.6569433861812151, "eval_runtime": 16.8474, "eval_samples_per_second": 2281.719, "eval_steps_per_second": 17.866, "epoch": 10.0}
EXC/len2_5120/lr1e-5_wd0.0_wr0.03_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.0_wr0.03_ep6_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6157869696617126, "eval_accuracy": 0.6776618714393486, "eval_f1": 0.6594568636231442, "eval_matthews_correlation": 0.31992044241437034, "eval_precision": 0.6620468998304383, "eval_recall": 0.657900412753502, "eval_runtime": 16.8352, "eval_samples_per_second": 2283.37, "eval_steps_per_second": 17.879, "epoch": 6.0}
EXC/len2_5120/lr1e-5_wd0.0_wr0.03_ep8_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.0_wr0.03_ep8_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.6130627989768982, "eval_accuracy": 0.6801331911240602, "eval_f1": 0.6588714041498454, "eval_matthews_correlation": 0.32068095759697224, "eval_precision": 0.6642340912810796, "eval_recall": 0.6565391749105722, "eval_runtime": 16.9046, "eval_samples_per_second": 2273.999, "eval_steps_per_second": 17.806, "epoch": 8.0}
EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep10_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.0_wr0.06_ep10_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.7046112418174744, "eval_accuracy": 0.6771415936109882, "eval_f1": 0.6582590676353487, "eval_matthews_correlation": 0.31784002328198446, "eval_precision": 0.6613415769080511, "eval_recall": 0.6565347914900219, "eval_runtime": 16.9481, "eval_samples_per_second": 2268.156, "eval_steps_per_second": 17.76, "epoch": 10.0}
EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep6_seed42/results/hg38_len2_5120_binary_EXC_lr1e-5_wd0.0_wr0.06_ep6_seed42/eval_results.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"eval_loss": 0.634506106376648, "eval_accuracy": 0.6725371348299992, "eval_f1": 0.6585922723336581, "eval_matthews_correlation": 0.31719402860851303, "eval_precision": 0.6584232433177739, "eval_recall": 0.6587709758963289, "eval_runtime": 16.9613, "eval_samples_per_second": 2266.391, "eval_steps_per_second": 17.746, "epoch": 6.0}
EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep8_seed42/checkpoint-14418/config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/home/n5huang/dna_token/pretrain/models/len2_5120/checkpoint-100000",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 3072,
13
+ "layer_norm_eps": 1e-12,
14
+ "max_length": 512,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "bert",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 12,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "problem_type": "single_label_classification",
22
+ "torch_dtype": "float32",
23
+ "transformers_version": "4.35.2",
24
+ "type_vocab_size": 2,
25
+ "use_cache": true,
26
+ "vocab_size": 5120
27
+ }
EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep8_seed42/checkpoint-14418/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4bb57b503c8a3510b7de6bc18b90a9036eef0842d32e4b043967c6fa43739c4
3
+ size 359923616
EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep8_seed42/checkpoint-14418/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:117a52985de4b2fa6254c0c532022ea96d49b8077e9214caed80b2026c14274f
3
+ size 719968907
EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep8_seed42/checkpoint-14418/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:21bf71de4d5336d41160a40d23406d015018445a09d519cc79523a1c64e1df3f
3
+ size 14645
EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep8_seed42/checkpoint-14418/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83030087260d9bea4bf4c918edf8b36e739d1175ae32845562cc30f21774e2c9
3
+ size 1465
EXC/len2_5120/lr1e-5_wd0.0_wr0.06_ep8_seed42/checkpoint-14418/special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }