ettsai commited on
Commit
2f1e35a
1 Parent(s): 4cf6138

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +72 -0
README.md ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ datasets:
6
+ - emo
7
+ metrics:
8
+ - accuracy
9
+ model-index:
10
+ - name: finetuning-sentiment-model-emo-4
11
+ results:
12
+ - task:
13
+ name: Text Classification
14
+ type: text-classification
15
+ dataset:
16
+ name: emo
17
+ type: emo
18
+ config: emo2019
19
+ split: test
20
+ args: emo2019
21
+ metrics:
22
+ - name: Accuracy
23
+ type: accuracy
24
+ value: 0.882
25
+ ---
26
+
27
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
28
+ should probably proofread and complete it, then remove this comment. -->
29
+
30
+ # finetuning-sentiment-model-emo-4
31
+
32
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emo dataset.
33
+ It achieves the following results on the evaluation set:
34
+ - Loss: 0.3929
35
+ - Accuracy: 0.882
36
+ - F1 Score: 0.8928
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: 2e-05
56
+ - train_batch_size: 16
57
+ - eval_batch_size: 16
58
+ - seed: 42
59
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
60
+ - lr_scheduler_type: linear
61
+ - num_epochs: 2
62
+
63
+ ### Training results
64
+
65
+
66
+
67
+ ### Framework versions
68
+
69
+ - Transformers 4.28.0
70
+ - Pytorch 2.0.1+cu118
71
+ - Datasets 2.12.0
72
+ - Tokenizers 0.13.3