tunggad commited on
Commit
48bc2c6
·
1 Parent(s): f507b2f

End of training

Browse files
README.md CHANGED
@@ -3,26 +3,11 @@ license: apache-2.0
3
  base_model: bert-base-uncased
4
  tags:
5
  - generated_from_trainer
6
- datasets:
7
- - banking77
8
  metrics:
9
  - f1
10
  model-index:
11
  - name: bert-base-banking77-pt2
12
- results:
13
- - task:
14
- name: Text Classification
15
- type: text-classification
16
- dataset:
17
- name: banking77
18
- type: banking77
19
- config: default
20
- split: test
21
- args: default
22
- metrics:
23
- - name: F1
24
- type: f1
25
- value: 0.9272318357899242
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
30
 
31
  # bert-base-banking77-pt2
32
 
33
- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 0.3258
36
- - F1: 0.9272
37
 
38
  ## Model description
39
 
@@ -64,14 +49,14 @@ The following hyperparameters were used during training:
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | F1 |
66
  |:-------------:|:-----:|:----:|:---------------:|:------:|
67
- | 1.0803 | 1.0 | 626 | 0.8248 | 0.8274 |
68
- | 0.367 | 2.0 | 1252 | 0.4000 | 0.9120 |
69
- | 0.1894 | 3.0 | 1878 | 0.3258 | 0.9272 |
70
 
71
 
72
  ### Framework versions
73
 
74
  - Transformers 4.36.2
75
  - Pytorch 2.1.2+cu121
76
- - Datasets 2.15.0
77
  - Tokenizers 0.15.0
 
3
  base_model: bert-base-uncased
4
  tags:
5
  - generated_from_trainer
 
 
6
  metrics:
7
  - f1
8
  model-index:
9
  - name: bert-base-banking77-pt2
10
+ results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
15
 
16
  # bert-base-banking77-pt2
17
 
18
+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.2916
21
+ - F1: 0.9345
22
 
23
  ## Model description
24
 
 
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | F1 |
51
  |:-------------:|:-----:|:----:|:---------------:|:------:|
52
+ | 1.0556 | 1.0 | 626 | 0.7653 | 0.8454 |
53
+ | 0.363 | 2.0 | 1252 | 0.3548 | 0.9230 |
54
+ | 0.1815 | 3.0 | 1878 | 0.2916 | 0.9345 |
55
 
56
 
57
  ### Framework versions
58
 
59
  - Transformers 4.36.2
60
  - Pytorch 2.1.2+cu121
61
+ - Datasets 2.16.1
62
  - Tokenizers 0.15.0
logs/events.out.tfevents.1704570771.papipc.44222.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:644c34714cdbf35bb2c764476ed5d439dd9124f9894edf0bea397fcee5407db7
3
- size 12046
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:78ec35e61dde4ebc35a538f3ac8f062cc1cf56e363f01f3b7e4310ed11bc0454
3
+ size 12400
tokenizer.json CHANGED
@@ -1,7 +1,21 @@
1
  {
2
  "version": "1.0",
3
- "truncation": null,
4
- "padding": null,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
  "added_tokens": [
6
  {
7
  "id": 0,
 
1
  {
2
  "version": "1.0",
3
+ "truncation": {
4
+ "direction": "Right",
5
+ "max_length": 512,
6
+ "strategy": "LongestFirst",
7
+ "stride": 0
8
+ },
9
+ "padding": {
10
+ "strategy": {
11
+ "Fixed": 512
12
+ },
13
+ "direction": "Right",
14
+ "pad_to_multiple_of": null,
15
+ "pad_id": 0,
16
+ "pad_type_id": 0,
17
+ "pad_token": "[PAD]"
18
+ },
19
  "added_tokens": [
20
  {
21
  "id": 0,