OmarEmam99 commited on
Commit
03a150d
1 Parent(s): 700416f

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +77 -0
README.md ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: xlm-roberta-base
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - xtreme
8
+ metrics:
9
+ - f1
10
+ model-index:
11
+ - name: xlm-roberta-base-finetuned-panx-de
12
+ results:
13
+ - task:
14
+ name: Token Classification
15
+ type: token-classification
16
+ dataset:
17
+ name: xtreme
18
+ type: xtreme
19
+ config: PAN-X.de
20
+ split: validation
21
+ args: PAN-X.de
22
+ metrics:
23
+ - name: F1
24
+ type: f1
25
+ value: 0.8616659101225601
26
+ ---
27
+
28
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
29
+ should probably proofread and complete it, then remove this comment. -->
30
+
31
+ # xlm-roberta-base-finetuned-panx-de
32
+
33
+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
34
+ It achieves the following results on the evaluation set:
35
+ - Loss: 0.1329
36
+ - F1: 0.8617
37
+
38
+ ## Model description
39
+
40
+ More information needed
41
+
42
+ ## Intended uses & limitations
43
+
44
+ More information needed
45
+
46
+ ## Training and evaluation data
47
+
48
+ More information needed
49
+
50
+ ## Training procedure
51
+
52
+ ### Training hyperparameters
53
+
54
+ The following hyperparameters were used during training:
55
+ - learning_rate: 5e-05
56
+ - train_batch_size: 24
57
+ - eval_batch_size: 24
58
+ - seed: 42
59
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
60
+ - lr_scheduler_type: linear
61
+ - num_epochs: 3
62
+
63
+ ### Training results
64
+
65
+ | Training Loss | Epoch | Step | Validation Loss | F1 |
66
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
67
+ | 0.2568 | 1.0 | 525 | 0.1583 | 0.8125 |
68
+ | 0.1261 | 2.0 | 1050 | 0.1458 | 0.8473 |
69
+ | 0.0823 | 3.0 | 1575 | 0.1329 | 0.8617 |
70
+
71
+
72
+ ### Framework versions
73
+
74
+ - Transformers 4.31.0
75
+ - Pytorch 2.0.1+cu118
76
+ - Datasets 2.14.0
77
+ - Tokenizers 0.13.3