hafidikhsan commited on
Commit
6fe0dcb
1 Parent(s): fced3fc

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +71 -0
README.md ADDED
@@ -0,0 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: distilbert-base-uncased
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ - f1
9
+ - precision
10
+ - recall
11
+ model-index:
12
+ - name: distilbert-base-uncased-english-cefr-lexical-evaluation-dt-v6
13
+ results: []
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ # distilbert-base-uncased-english-cefr-lexical-evaluation-dt-v6
20
+
21
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
22
+ It achieves the following results on the evaluation set:
23
+ - Loss: 1.4919
24
+ - Accuracy: 0.7204
25
+ - F1: 0.7215
26
+ - Precision: 0.7239
27
+ - Recall: 0.7204
28
+
29
+ ## Model description
30
+
31
+ More information needed
32
+
33
+ ## Intended uses & limitations
34
+
35
+ More information needed
36
+
37
+ ## Training and evaluation data
38
+
39
+ More information needed
40
+
41
+ ## Training procedure
42
+
43
+ ### Training hyperparameters
44
+
45
+ The following hyperparameters were used during training:
46
+ - learning_rate: 0.0001
47
+ - train_batch_size: 32
48
+ - eval_batch_size: 32
49
+ - seed: 42
50
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
+ - lr_scheduler_type: linear
52
+ - lr_scheduler_warmup_ratio: 0.1
53
+ - num_epochs: 5
54
+
55
+ ### Training results
56
+
57
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
58
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
59
+ | 0.9855 | 1.0 | 937 | 1.0026 | 0.6225 | 0.6227 | 0.6604 | 0.6225 |
60
+ | 0.6191 | 2.0 | 1874 | 0.8113 | 0.7090 | 0.7056 | 0.7160 | 0.7090 |
61
+ | 0.2736 | 3.0 | 2811 | 0.9598 | 0.7084 | 0.7070 | 0.7099 | 0.7084 |
62
+ | 0.1399 | 4.0 | 3748 | 1.2784 | 0.7130 | 0.7126 | 0.7151 | 0.7130 |
63
+ | 0.0521 | 5.0 | 4685 | 1.5455 | 0.7152 | 0.7163 | 0.7182 | 0.7152 |
64
+
65
+
66
+ ### Framework versions
67
+
68
+ - Transformers 4.31.0
69
+ - Pytorch 2.0.1+cu118
70
+ - Datasets 2.13.1
71
+ - Tokenizers 0.13.3