File size: 1,572 Bytes
f798b25
 
 
c449fb5
 
 
 
 
 
25633bb
 
f798b25
 
c449fb5
 
eb8ce3a
c449fb5
 
 
 
 
 
 
 
 
 
 
 
 
 
f798b25
 
 
 
 
 
 
be48926
f798b25
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
---
tags:
- generated_from_trainer
datasets:
- cfilt/HiNER-original
metrics:
- precision
- recall
- f1
widget:
- text: "बैंगलोर यूनिवर्सिटी में सेमेस्टर जुलाई से शुरू हो रही है ।"
model-index:
- name: HiNER-original-muril-base-cased
  results:
  - task:
      name: Named ENtity Recognition
      type: token-classification
    dataset:
      type: cfilt/HiNER-original
      name: HiNER Original
    metrics:
    - name: Precision
      type: precision
      value: 0.8874067587220668
    - name: Recall
      type: recall
      value: 0.880125938333643
    - name: F1
      type: f1
      value: 0.8837513529507954
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# HiNER-original-muril-base-cased

This model was trained from scratch on the cfilt/HiNER-original dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Framework versions

- Transformers 4.14.0
- Pytorch 1.9.1
- Datasets 1.15.1
- Tokenizers 0.10.3