Hugging Face's logo

Supersaiyan1729
/
llm_science_bert

Multiple Choice
Transformers
PyTorch
bert
Generated from Trainer
Model card Files
xet
Community
1
Supersaiyan1729 commited on
Commit
48da3e7
·
1 Parent(s): a6f1523

End of training

Browse files
Files changed (3) hide show
  1. README.md +32 -32
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 1.5320
21
- - Accuracy: 0.395
22
 
23
  ## Model description
24
 
@@ -49,36 +49,36 @@ The following hyperparameters were used during training:
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
- | No log | 1.0 | 25 | 1.5572 | 0.335 |
53
- | No log | 2.0 | 50 | 1.5523 | 0.32 |
54
- | 1.5635 | 3.0 | 75 | 1.5499 | 0.33 |
55
- | 1.5635 | 4.0 | 100 | 1.5477 | 0.34 |
56
- | 1.5635 | 5.0 | 125 | 1.5459 | 0.35 |
57
- | 1.5604 | 6.0 | 150 | 1.5445 | 0.35 |
58
- | 1.5604 | 7.0 | 175 | 1.5449 | 0.365 |
59
- | 1.5604 | 8.0 | 200 | 1.5438 | 0.375 |
60
- | 1.5678 | 9.0 | 225 | 1.5433 | 0.38 |
61
- | 1.5678 | 10.0 | 250 | 1.5419 | 0.36 |
62
- | 1.5678 | 11.0 | 275 | 1.5406 | 0.37 |
63
- | 1.5607 | 12.0 | 300 | 1.5400 | 0.37 |
64
- | 1.5607 | 13.0 | 325 | 1.5380 | 0.375 |
65
- | 1.5607 | 14.0 | 350 | 1.5357 | 0.385 |
66
- | 1.5616 | 15.0 | 375 | 1.5351 | 0.385 |
67
- | 1.5616 | 16.0 | 400 | 1.5354 | 0.39 |
68
- | 1.5616 | 17.0 | 425 | 1.5351 | 0.395 |
69
- | 1.5753 | 18.0 | 450 | 1.5344 | 0.395 |
70
- | 1.5753 | 19.0 | 475 | 1.5339 | 0.4 |
71
- | 1.5753 | 20.0 | 500 | 1.5336 | 0.395 |
72
- | 1.5725 | 21.0 | 525 | 1.5331 | 0.395 |
73
- | 1.5725 | 22.0 | 550 | 1.5330 | 0.39 |
74
- | 1.5725 | 23.0 | 575 | 1.5334 | 0.395 |
75
- | 1.563 | 24.0 | 600 | 1.5328 | 0.395 |
76
- | 1.563 | 25.0 | 625 | 1.5325 | 0.395 |
77
- | 1.563 | 26.0 | 650 | 1.5326 | 0.395 |
78
- | 1.5828 | 27.0 | 675 | 1.5322 | 0.395 |
79
- | 1.5828 | 28.0 | 700 | 1.5321 | 0.395 |
80
- | 1.5828 | 29.0 | 725 | 1.5320 | 0.395 |
81
- | 1.5574 | 30.0 | 750 | 1.5320 | 0.395 |
82
 
83
 
84
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 1.6014
21
+ - Accuracy: 0.33
22
 
23
  ## Model description
24
 
 
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | No log | 1.0 | 25 | 1.6123 | 0.24 |
53
+ | No log | 2.0 | 50 | 1.6094 | 0.235 |
54
+ | 1.6308 | 3.0 | 75 | 1.6111 | 0.245 |
55
+ | 1.6308 | 4.0 | 100 | 1.6090 | 0.26 |
56
+ | 1.6308 | 5.0 | 125 | 1.6099 | 0.275 |
57
+ | 1.625 | 6.0 | 150 | 1.6088 | 0.28 |
58
+ | 1.625 | 7.0 | 175 | 1.6092 | 0.285 |
59
+ | 1.625 | 8.0 | 200 | 1.6070 | 0.28 |
60
+ | 1.616 | 9.0 | 225 | 1.6059 | 0.27 |
61
+ | 1.616 | 10.0 | 250 | 1.6049 | 0.285 |
62
+ | 1.616 | 11.0 | 275 | 1.6051 | 0.3 |
63
+ | 1.6134 | 12.0 | 300 | 1.6052 | 0.3 |
64
+ | 1.6134 | 13.0 | 325 | 1.6048 | 0.305 |
65
+ | 1.6134 | 14.0 | 350 | 1.6038 | 0.315 |
66
+ | 1.6179 | 15.0 | 375 | 1.6042 | 0.3 |
67
+ | 1.6179 | 16.0 | 400 | 1.6040 | 0.315 |
68
+ | 1.6179 | 17.0 | 425 | 1.6035 | 0.32 |
69
+ | 1.6113 | 18.0 | 450 | 1.6031 | 0.325 |
70
+ | 1.6113 | 19.0 | 475 | 1.6030 | 0.32 |
71
+ | 1.6113 | 20.0 | 500 | 1.6024 | 0.305 |
72
+ | 1.631 | 21.0 | 525 | 1.6024 | 0.31 |
73
+ | 1.631 | 22.0 | 550 | 1.6024 | 0.315 |
74
+ | 1.631 | 23.0 | 575 | 1.6023 | 0.32 |
75
+ | 1.6153 | 24.0 | 600 | 1.6021 | 0.315 |
76
+ | 1.6153 | 25.0 | 625 | 1.6020 | 0.325 |
77
+ | 1.6153 | 26.0 | 650 | 1.6018 | 0.33 |
78
+ | 1.6091 | 27.0 | 675 | 1.6017 | 0.33 |
79
+ | 1.6091 | 28.0 | 700 | 1.6016 | 0.33 |
80
+ | 1.6091 | 29.0 | 725 | 1.6015 | 0.33 |
81
+ | 1.6125 | 30.0 | 750 | 1.6014 | 0.33 |
82
 
83
 
84
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:67442c1ed4f98a2de68e62b133f3f822732d98cd80aa4efdd52a4d9ccfa8853e
3
  size 438000433
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:43193018d14d6b042cd60940fe7f086062ccfdcb6553f4aedc42aec62424a90c
3
  size 438000433
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:504a0b940bf9d4d3f430b4735bcad4a577afdbf465fe665d121ff03f224af099
3
  size 4091
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cba82b3f71b2caf9f37d5bdabd3e868fffd7f01d086c7fdb97e43eb6b07eaa2e
3
  size 4091