Hugging Face's logo

Tanor
/
BERTicSENTNEG4

Text Classification
Transformers
PyTorch
Safetensors
electra
Generated from Trainer
Inference Endpoints
Model card Files Community
1
Tanor commited on
Commit
cbd0db1
•
1 Parent(s): 6e86ba2

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +91 -0
README.md ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ metrics:
5
+ - f1
6
+ model-index:
7
+ - name: BERTicSENTNEG4
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # BERTicSENTNEG4
15
+
16
+ This model is a fine-tuned version of [Tanor/BERTicSENTNEG4](https://huggingface.co/Tanor/BERTicSENTNEG4) on the None dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 0.0842
19
+ - F1: 0.6275
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 2e-05
39
+ - train_batch_size: 64
40
+ - eval_batch_size: 16
41
+ - seed: 42
42
+ - gradient_accumulation_steps: 4
43
+ - total_train_batch_size: 256
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 32
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | F1 |
51
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
52
+ | No log | 1.0 | 53 | 0.0668 | 0.0 |
53
+ | No log | 2.0 | 106 | 0.0432 | 0.6383 |
54
+ | No log | 3.0 | 159 | 0.0400 | 0.5714 |
55
+ | No log | 4.0 | 212 | 0.0458 | 0.5957 |
56
+ | No log | 5.0 | 265 | 0.0444 | 0.5882 |
57
+ | No log | 6.0 | 318 | 0.0556 | 0.5957 |
58
+ | No log | 7.0 | 371 | 0.0566 | 0.5714 |
59
+ | No log | 8.0 | 424 | 0.0587 | 0.5862 |
60
+ | No log | 9.0 | 477 | 0.0566 | 0.5660 |
61
+ | 0.0389 | 10.0 | 530 | 0.0693 | 0.5455 |
62
+ | 0.0389 | 11.0 | 583 | 0.0612 | 0.6383 |
63
+ | 0.0389 | 12.0 | 636 | 0.0596 | 0.6 |
64
+ | 0.0389 | 13.0 | 689 | 0.0671 | 0.6038 |
65
+ | 0.0389 | 14.0 | 742 | 0.0740 | 0.5957 |
66
+ | 0.0389 | 15.0 | 795 | 0.0799 | 0.5778 |
67
+ | 0.0389 | 16.0 | 848 | 0.0702 | 0.5957 |
68
+ | 0.0389 | 17.0 | 901 | 0.0737 | 0.6087 |
69
+ | 0.0389 | 18.0 | 954 | 0.0674 | 0.5660 |
70
+ | 0.0053 | 19.0 | 1007 | 0.0725 | 0.5957 |
71
+ | 0.0053 | 20.0 | 1060 | 0.0738 | 0.6 |
72
+ | 0.0053 | 21.0 | 1113 | 0.0821 | 0.625 |
73
+ | 0.0053 | 22.0 | 1166 | 0.0737 | 0.6 |
74
+ | 0.0053 | 23.0 | 1219 | 0.0828 | 0.6122 |
75
+ | 0.0053 | 24.0 | 1272 | 0.0776 | 0.6182 |
76
+ | 0.0053 | 25.0 | 1325 | 0.0792 | 0.6182 |
77
+ | 0.0053 | 26.0 | 1378 | 0.0791 | 0.6275 |
78
+ | 0.0053 | 27.0 | 1431 | 0.0812 | 0.6275 |
79
+ | 0.0053 | 28.0 | 1484 | 0.0819 | 0.6038 |
80
+ | 0.0029 | 29.0 | 1537 | 0.0831 | 0.6275 |
81
+ | 0.0029 | 30.0 | 1590 | 0.0834 | 0.6275 |
82
+ | 0.0029 | 31.0 | 1643 | 0.0837 | 0.6275 |
83
+ | 0.0029 | 32.0 | 1696 | 0.0842 | 0.6275 |
84
+
85
+
86
+ ### Framework versions
87
+
88
+ - Transformers 4.30.2
89
+ - Pytorch 2.0.1
90
+ - Datasets 2.13.1
91
+ - Tokenizers 0.13.3