Hugging Face's logo

Mawiwawi
/
distilbert-base-uncased-finetuned-ner

Token Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
Mawiwawi commited on
Commit
a3a3678
•
1 Parent(s): ffd280d

End of training

Browse files
Files changed (4) hide show
  1. README.md +25 -25
  2. config.json +3 -1
  3. model.safetensors +2 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.1810
24
- - Precision: 0.8617
25
- - Recall: 0.8804
26
- - F1: 0.8710
27
- - Accuracy: 0.9685
28
 
29
  ## Model description
30
 
@@ -55,26 +55,26 @@ The following hyperparameters were used during training:
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
- | No log | 1.0 | 13 | 1.7219 | 0.0 | 0.0 | 0.0 | 0.5826 |
59
- | No log | 2.0 | 26 | 1.3066 | 0.0 | 0.0 | 0.0 | 0.7141 |
60
- | No log | 3.0 | 39 | 0.9443 | 0.0588 | 0.0217 | 0.0317 | 0.7761 |
61
- | No log | 4.0 | 52 | 0.6831 | 0.3448 | 0.2174 | 0.2667 | 0.8163 |
62
- | No log | 5.0 | 65 | 0.5313 | 0.4516 | 0.4565 | 0.4541 | 0.8739 |
63
- | No log | 6.0 | 78 | 0.4245 | 0.5437 | 0.6087 | 0.5744 | 0.9185 |
64
- | No log | 7.0 | 91 | 0.3528 | 0.7019 | 0.7935 | 0.7449 | 0.9457 |
65
- | No log | 8.0 | 104 | 0.3078 | 0.7551 | 0.8043 | 0.7789 | 0.9554 |
66
- | No log | 9.0 | 117 | 0.2709 | 0.7835 | 0.8261 | 0.8042 | 0.9598 |
67
- | No log | 10.0 | 130 | 0.2459 | 0.8191 | 0.8370 | 0.8280 | 0.9620 |
68
- | No log | 11.0 | 143 | 0.2283 | 0.8696 | 0.8696 | 0.8696 | 0.9674 |
69
- | No log | 12.0 | 156 | 0.2108 | 0.8804 | 0.8804 | 0.8804 | 0.9685 |
70
- | No log | 13.0 | 169 | 0.2044 | 0.8804 | 0.8804 | 0.8804 | 0.9685 |
71
- | No log | 14.0 | 182 | 0.1935 | 0.8710 | 0.8804 | 0.8757 | 0.9685 |
72
- | No log | 15.0 | 195 | 0.1875 | 0.8901 | 0.8804 | 0.8852 | 0.9685 |
73
- | No log | 16.0 | 208 | 0.1855 | 0.8710 | 0.8804 | 0.8757 | 0.9685 |
74
- | No log | 17.0 | 221 | 0.1816 | 0.8901 | 0.8804 | 0.8852 | 0.9685 |
75
- | No log | 18.0 | 234 | 0.1819 | 0.8710 | 0.8804 | 0.8757 | 0.9685 |
76
- | No log | 19.0 | 247 | 0.1812 | 0.8710 | 0.8804 | 0.8757 | 0.9685 |
77
- | No log | 20.0 | 260 | 0.1810 | 0.8617 | 0.8804 | 0.8710 | 0.9685 |
78
 
79
 
80
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.2988
24
+ - Precision: 0.8066
25
+ - Recall: 0.7644
26
+ - F1: 0.7849
27
+ - Accuracy: 0.9432
28
 
29
  ## Model description
30
 
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
57
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
58
+ | No log | 1.0 | 13 | 1.7619 | 0.0 | 0.0 | 0.0 | 0.6185 |
59
+ | No log | 2.0 | 26 | 1.4482 | 0.0526 | 0.0052 | 0.0095 | 0.6985 |
60
+ | No log | 3.0 | 39 | 1.0747 | 0.0417 | 0.0105 | 0.0167 | 0.7429 |
61
+ | No log | 4.0 | 52 | 0.8462 | 0.2262 | 0.0995 | 0.1382 | 0.7821 |
62
+ | No log | 5.0 | 65 | 0.6852 | 0.3290 | 0.2670 | 0.2948 | 0.8172 |
63
+ | No log | 6.0 | 78 | 0.5970 | 0.4346 | 0.4869 | 0.4593 | 0.8684 |
64
+ | No log | 7.0 | 91 | 0.5108 | 0.5072 | 0.5497 | 0.5276 | 0.8880 |
65
+ | No log | 8.0 | 104 | 0.4515 | 0.5882 | 0.6283 | 0.6076 | 0.9086 |
66
+ | No log | 9.0 | 117 | 0.4105 | 0.6305 | 0.6702 | 0.6497 | 0.9169 |
67
+ | No log | 10.0 | 130 | 0.3755 | 0.7120 | 0.6859 | 0.6987 | 0.9293 |
68
+ | No log | 11.0 | 143 | 0.3661 | 0.7243 | 0.7016 | 0.7128 | 0.9293 |
69
+ | No log | 12.0 | 156 | 0.3460 | 0.7273 | 0.7120 | 0.7196 | 0.9313 |
70
+ | No log | 13.0 | 169 | 0.3287 | 0.7609 | 0.7330 | 0.7467 | 0.9355 |
71
+ | No log | 14.0 | 182 | 0.3177 | 0.7701 | 0.7539 | 0.7619 | 0.9370 |
72
+ | No log | 15.0 | 195 | 0.3133 | 0.7705 | 0.7382 | 0.7540 | 0.9360 |
73
+ | No log | 16.0 | 208 | 0.3028 | 0.7826 | 0.7539 | 0.7680 | 0.9406 |
74
+ | No log | 17.0 | 221 | 0.3062 | 0.7944 | 0.7487 | 0.7709 | 0.9391 |
75
+ | No log | 18.0 | 234 | 0.3015 | 0.8011 | 0.7592 | 0.7796 | 0.9411 |
76
+ | No log | 19.0 | 247 | 0.2997 | 0.7935 | 0.7644 | 0.7787 | 0.9432 |
77
+ | No log | 20.0 | 260 | 0.2988 | 0.8066 | 0.7644 | 0.7849 | 0.9432 |
78
 
79
 
80
  ### Framework versions
config.json CHANGED
@@ -36,7 +36,8 @@
36
  "24": "LABEL_24",
37
  "25": "LABEL_25",
38
  "26": "LABEL_26",
39
- "27": "LABEL_27"
 
40
  },
41
  "initializer_range": 0.02,
42
  "label2id": {
@@ -61,6 +62,7 @@
61
  "LABEL_25": 25,
62
  "LABEL_26": 26,
63
  "LABEL_27": 27,
 
64
  "LABEL_3": 3,
65
  "LABEL_4": 4,
66
  "LABEL_5": 5,
 
36
  "24": "LABEL_24",
37
  "25": "LABEL_25",
38
  "26": "LABEL_26",
39
+ "27": "LABEL_27",
40
+ "28": "LABEL_28"
41
  },
42
  "initializer_range": 0.02,
43
  "label2id": {
 
62
  "LABEL_25": 25,
63
  "LABEL_26": 26,
64
  "LABEL_27": 27,
65
+ "LABEL_28": 28,
66
  "LABEL_3": 3,
67
  "LABEL_4": 4,
68
  "LABEL_5": 5,
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0bbb191b6c2a4138eb7fdb498c0bf92aeac3f2040a81c17274ccd50c59fd9ca3
3
- size 265549992
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b1e132195a2b5ab87f72ab2266e05c4dc6ff18f2328b97bd532855ee300da0e7
3
+ size 265553068
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:36fd15c389bcbdd48585cf981ae37549479cf4ffe27165abcc62ea2d97dfbda3
3
  size 4984
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ada3c0da68104f8eef0a2d0e257e08536445f0c4cd07c106170a1b45c3f8500
3
  size 4984