Hugging Face's logo

elopezlopez
/
distilbert-base-uncased_fold_1_ternary_v1

Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
2
elopezlopez commited on
Commit
1dd68a7
·
1 Parent(s): da18bdf

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +27 -27
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 2.0601
20
- - F1: 0.7782
21
 
22
  ## Model description
23
 
@@ -48,31 +48,31 @@ The following hyperparameters were used during training:
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | F1 |
50
  |:-------------:|:-----:|:----:|:---------------:|:------:|
51
- | No log | 1.0 | 290 | 0.5488 | 0.7559 |
52
- | 0.5605 | 2.0 | 580 | 0.6067 | 0.7732 |
53
- | 0.5605 | 3.0 | 870 | 0.6576 | 0.7782 |
54
- | 0.2678 | 4.0 | 1160 | 0.9618 | 0.7831 |
55
- | 0.2678 | 5.0 | 1450 | 1.0592 | 0.7770 |
56
- | 0.1188 | 6.0 | 1740 | 1.2153 | 0.7869 |
57
- | 0.0471 | 7.0 | 2030 | 1.3278 | 0.7856 |
58
- | 0.0471 | 8.0 | 2320 | 1.4376 | 0.7770 |
59
- | 0.0198 | 9.0 | 2610 | 1.5499 | 0.7807 |
60
- | 0.0198 | 10.0 | 2900 | 1.6066 | 0.7819 |
61
- | 0.0116 | 11.0 | 3190 | 1.6820 | 0.7732 |
62
- | 0.0116 | 12.0 | 3480 | 1.7533 | 0.7683 |
63
- | 0.007 | 13.0 | 3770 | 1.7845 | 0.7819 |
64
- | 0.0063 | 14.0 | 4060 | 1.7677 | 0.7819 |
65
- | 0.0063 | 15.0 | 4350 | 1.7755 | 0.7831 |
66
- | 0.0052 | 16.0 | 4640 | 1.9232 | 0.7782 |
67
- | 0.0052 | 17.0 | 4930 | 1.7985 | 0.7844 |
68
- | 0.0016 | 18.0 | 5220 | 1.9029 | 0.7831 |
69
- | 0.0018 | 19.0 | 5510 | 2.0640 | 0.7708 |
70
- | 0.0018 | 20.0 | 5800 | 2.0463 | 0.7757 |
71
- | 0.0027 | 21.0 | 6090 | 2.0510 | 0.7745 |
72
- | 0.0027 | 22.0 | 6380 | 2.0453 | 0.7770 |
73
- | 0.0012 | 23.0 | 6670 | 2.0741 | 0.7807 |
74
- | 0.0012 | 24.0 | 6960 | 2.0637 | 0.7745 |
75
- | 0.0004 | 25.0 | 7250 | 2.0601 | 0.7782 |
76
 
77
 
78
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 2.1145
20
+ - F1: 0.7757
21
 
22
  ## Model description
23
 
 
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | F1 |
50
  |:-------------:|:-----:|:----:|:---------------:|:------:|
51
+ | No log | 1.0 | 290 | 0.5580 | 0.7646 |
52
+ | 0.555 | 2.0 | 580 | 0.5820 | 0.7670 |
53
+ | 0.555 | 3.0 | 870 | 0.6683 | 0.7757 |
54
+ | 0.2633 | 4.0 | 1160 | 0.9137 | 0.7844 |
55
+ | 0.2633 | 5.0 | 1450 | 1.1367 | 0.7708 |
56
+ | 0.1148 | 6.0 | 1740 | 1.2192 | 0.7757 |
57
+ | 0.0456 | 7.0 | 2030 | 1.4035 | 0.7633 |
58
+ | 0.0456 | 8.0 | 2320 | 1.5185 | 0.7658 |
59
+ | 0.0226 | 9.0 | 2610 | 1.6126 | 0.7782 |
60
+ | 0.0226 | 10.0 | 2900 | 1.7631 | 0.7658 |
61
+ | 0.0061 | 11.0 | 3190 | 1.7279 | 0.7794 |
62
+ | 0.0061 | 12.0 | 3480 | 1.8548 | 0.7584 |
63
+ | 0.0076 | 13.0 | 3770 | 1.9052 | 0.7646 |
64
+ | 0.0061 | 14.0 | 4060 | 1.9100 | 0.7757 |
65
+ | 0.0061 | 15.0 | 4350 | 1.9280 | 0.7732 |
66
+ | 0.0025 | 16.0 | 4640 | 1.9991 | 0.7745 |
67
+ | 0.0025 | 17.0 | 4930 | 1.9960 | 0.7757 |
68
+ | 0.0035 | 18.0 | 5220 | 2.0018 | 0.7708 |
69
+ | 0.0015 | 19.0 | 5510 | 2.1099 | 0.7646 |
70
+ | 0.0015 | 20.0 | 5800 | 2.1061 | 0.7695 |
71
+ | 0.0022 | 21.0 | 6090 | 2.0941 | 0.7757 |
72
+ | 0.0022 | 22.0 | 6380 | 2.0967 | 0.7794 |
73
+ | 0.0005 | 23.0 | 6670 | 2.1133 | 0.7745 |
74
+ | 0.0005 | 24.0 | 6960 | 2.1042 | 0.7782 |
75
+ | 0.0021 | 25.0 | 7250 | 2.1145 | 0.7757 |
76
 
77
 
78
  ### Framework versions