File size: 2,066 Bytes
79f6dff
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
---
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 20231005-10-bert-base-multilingual-cased-new
  results: []
---

<!-- 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. -->

# 20231005-10-bert-base-multilingual-cased-new

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Accuracy: 0.5619
- Loss: 1.7791

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 3.0157        | 1.82  | 200  | 0.4232   | 2.6671          |
| 2.5352        | 3.64  | 400  | 0.4476   | 2.6419          |
| 2.3183        | 5.45  | 600  | 0.5189   | 2.3181          |
| 2.1379        | 7.27  | 800  | 0.5192   | 2.0600          |
| 2.0734        | 9.09  | 1000 | 0.4961   | 2.1997          |
| 1.9287        | 10.91 | 1200 | 0.5075   | 2.1356          |
| 1.8827        | 12.73 | 1400 | 0.5405   | 2.0868          |
| 1.8261        | 14.55 | 1600 | 0.5490   | 1.9918          |
| 1.7685        | 16.36 | 1800 | 0.5917   | 1.8753          |
| 1.7322        | 18.18 | 2000 | 0.5789   | 1.8090          |
| 1.6964        | 20.0  | 2200 | 0.5619   | 1.7791          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1