kimsiun commited on
Commit
6932eaa
·
1 Parent(s): 5cc4c4d

End of training

Browse files
Files changed (2) hide show
  1. README.md +73 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - f1
7
+ model-index:
8
+ - name: ec_classfication_0502_roberta_base
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # ec_classfication_0502_roberta_base
16
+
17
+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 1.2218
20
+ - F1: 0.8261
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 2e-05
40
+ - train_batch_size: 16
41
+ - eval_batch_size: 16
42
+ - seed: 42
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: linear
45
+ - num_epochs: 15
46
+
47
+ ### Training results
48
+
49
+ | Training Loss | Epoch | Step | Validation Loss | F1 |
50
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
51
+ | No log | 1.0 | 59 | 0.5035 | 0.6667 |
52
+ | No log | 2.0 | 118 | 0.4384 | 0.8257 |
53
+ | No log | 3.0 | 177 | 0.4558 | 0.8172 |
54
+ | No log | 4.0 | 236 | 0.6789 | 0.8511 |
55
+ | No log | 5.0 | 295 | 0.8515 | 0.8182 |
56
+ | No log | 6.0 | 354 | 0.9891 | 0.8172 |
57
+ | No log | 7.0 | 413 | 1.0469 | 0.8200 |
58
+ | No log | 8.0 | 472 | 1.2050 | 0.8222 |
59
+ | 0.177 | 9.0 | 531 | 1.2098 | 0.8261 |
60
+ | 0.177 | 10.0 | 590 | 1.2588 | 0.8132 |
61
+ | 0.177 | 11.0 | 649 | 1.2539 | 0.8261 |
62
+ | 0.177 | 12.0 | 708 | 1.2014 | 0.8261 |
63
+ | 0.177 | 13.0 | 767 | 1.2437 | 0.8261 |
64
+ | 0.177 | 14.0 | 826 | 1.2202 | 0.8261 |
65
+ | 0.177 | 15.0 | 885 | 1.2218 | 0.8261 |
66
+
67
+
68
+ ### Framework versions
69
+
70
+ - Transformers 4.27.3
71
+ - Pytorch 2.0.0+cu118
72
+ - Datasets 2.11.0
73
+ - Tokenizers 0.13.2
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:838b7add39256517821250f056c284106a71d5ba070c1a9e6023e27603af6747
3
  size 498662069
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db993bbe4b3ca64e5d2df709310a3033f5393bf844283c1d1849865de9526816
3
  size 498662069