Kriyans commited on
Commit
e641757
1 Parent(s): b091724

End of training

Browse files
Files changed (2) hide show
  1. README.md +38 -3
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -5,9 +5,36 @@ tags:
5
  - generated_from_trainer
6
  datasets:
7
  - ner
 
 
 
 
 
8
  model-index:
9
  - name: Bert-NER
10
- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +43,12 @@ should probably proofread and complete it, then remove this comment. -->
16
  # Bert-NER
17
 
18
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the ner dataset.
 
 
 
 
 
 
19
 
20
  ## Model description
21
 
@@ -40,13 +73,15 @@ The following hyperparameters were used during training:
40
  - seed: 42
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
43
- - num_epochs: 1
44
 
45
  ### Training results
46
 
47
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
48
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
49
- | No log | 1.0 | 486 | 0.0032 | 0.9972 | 0.9978 | 0.9975 | 0.9987 |
 
 
50
 
51
 
52
  ### Framework versions
 
5
  - generated_from_trainer
6
  datasets:
7
  - ner
8
+ metrics:
9
+ - precision
10
+ - recall
11
+ - f1
12
+ - accuracy
13
  model-index:
14
  - name: Bert-NER
15
+ results:
16
+ - task:
17
+ name: Token Classification
18
+ type: token-classification
19
+ dataset:
20
+ name: ner
21
+ type: ner
22
+ config: indian_names
23
+ split: train
24
+ args: indian_names
25
+ metrics:
26
+ - name: Precision
27
+ type: precision
28
+ value: 0.9987202862934734
29
+ - name: Recall
30
+ type: recall
31
+ value: 0.9989804934411745
32
+ - name: F1
33
+ type: f1
34
+ value: 0.9988503729209022
35
+ - name: Accuracy
36
+ type: accuracy
37
+ value: 0.9993990151023617
38
  ---
39
 
40
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
43
  # Bert-NER
44
 
45
  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the ner dataset.
46
+ It achieves the following results on the evaluation set:
47
+ - Loss: 0.0019
48
+ - Precision: 0.9987
49
+ - Recall: 0.9990
50
+ - F1: 0.9989
51
+ - Accuracy: 0.9994
52
 
53
  ## Model description
54
 
 
73
  - seed: 42
74
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
75
  - lr_scheduler_type: linear
76
+ - num_epochs: 3
77
 
78
  ### Training results
79
 
80
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
81
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
82
+ | No log | 1.0 | 486 | 0.0038 | 0.9961 | 0.9983 | 0.9972 | 0.9985 |
83
+ | 0.0034 | 2.0 | 972 | 0.0024 | 0.9980 | 0.9990 | 0.9985 | 0.9992 |
84
+ | 0.0041 | 3.0 | 1458 | 0.0019 | 0.9987 | 0.9990 | 0.9989 | 0.9994 |
85
 
86
 
87
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6efc6258367bfe92154bd4675d0aaf8b9fef9f66c565fe61b52330b872c1dc62
3
  size 265526309
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1b921de0a75daa094b25b35771a06d4bd085822947ab3f35ce256d44788b212e
3
  size 265526309