Hugging Face's logo

lucaordronneau
/
finbert-finetuned-FG-SINGLE_SENTENCE-NEWS

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
2
lucaordronneau commited on
Commit
3523f2d
•
1 Parent(s): 13aee7d

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +23 -23
README.md CHANGED
@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 4.0147
20
- - Accuracy: 0.5361
21
- - F1: 0.5346
22
 
23
  ## Model description
24
 
@@ -49,26 +49,26 @@ The following hyperparameters were used during training:
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
52
- | No log | 1.0 | 198 | 1.0442 | 0.4616 | 0.4093 |
53
- | No log | 2.0 | 396 | 1.0938 | 0.4875 | 0.4455 |
54
- | 0.9778 | 3.0 | 594 | 1.1884 | 0.5247 | 0.5161 |
55
- | 0.9778 | 4.0 | 792 | 1.3903 | 0.5338 | 0.5290 |
56
- | 0.9778 | 5.0 | 990 | 1.5180 | 0.5452 | 0.5430 |
57
- | 0.3904 | 6.0 | 1188 | 1.8556 | 0.5270 | 0.5273 |
58
- | 0.3904 | 7.0 | 1386 | 2.1461 | 0.5376 | 0.5386 |
59
- | 0.142 | 8.0 | 1584 | 2.4582 | 0.5529 | 0.5489 |
60
- | 0.142 | 9.0 | 1782 | 2.6054 | 0.5255 | 0.5247 |
61
- | 0.142 | 10.0 | 1980 | 2.7953 | 0.5544 | 0.5483 |
62
- | 0.0797 | 11.0 | 2178 | 3.0892 | 0.5308 | 0.5315 |
63
- | 0.0797 | 12.0 | 2376 | 3.3025 | 0.5384 | 0.5315 |
64
- | 0.0415 | 13.0 | 2574 | 3.3124 | 0.5308 | 0.5249 |
65
- | 0.0415 | 14.0 | 2772 | 3.6247 | 0.5331 | 0.5322 |
66
- | 0.0415 | 15.0 | 2970 | 3.6592 | 0.5224 | 0.5252 |
67
- | 0.024 | 16.0 | 3168 | 3.8275 | 0.5308 | 0.5290 |
68
- | 0.024 | 17.0 | 3366 | 3.8818 | 0.5308 | 0.5295 |
69
- | 0.009 | 18.0 | 3564 | 3.9417 | 0.5407 | 0.5375 |
70
- | 0.009 | 19.0 | 3762 | 4.0033 | 0.5361 | 0.5339 |
71
- | 0.009 | 20.0 | 3960 | 4.0147 | 0.5361 | 0.5346 |
72
 
73
 
74
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 3.2997
20
+ - Accuracy: 0.6414
21
+ - F1: 0.6295
22
 
23
  ## Model description
24
 
 
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
52
+ | No log | 1.0 | 321 | 0.9371 | 0.5699 | 0.4333 |
53
+ | 0.9282 | 2.0 | 642 | 0.9135 | 0.5930 | 0.5447 |
54
+ | 0.9282 | 3.0 | 963 | 0.9900 | 0.6033 | 0.5823 |
55
+ | 0.6743 | 4.0 | 1284 | 1.0802 | 0.6142 | 0.6065 |
56
+ | 0.3134 | 5.0 | 1605 | 1.5156 | 0.6183 | 0.5971 |
57
+ | 0.3134 | 6.0 | 1926 | 1.3695 | 0.6319 | 0.6183 |
58
+ | 0.1709 | 7.0 | 2247 | 1.8746 | 0.6462 | 0.6267 |
59
+ | 0.1112 | 8.0 | 2568 | 2.0880 | 0.6176 | 0.6155 |
60
+ | 0.1112 | 9.0 | 2889 | 2.3953 | 0.6190 | 0.6087 |
61
+ | 0.0811 | 10.0 | 3210 | 2.3792 | 0.6339 | 0.6225 |
62
+ | 0.0608 | 11.0 | 3531 | 2.3783 | 0.6360 | 0.6282 |
63
+ | 0.0608 | 12.0 | 3852 | 2.5982 | 0.6544 | 0.6351 |
64
+ | 0.039 | 13.0 | 4173 | 2.7687 | 0.6346 | 0.6305 |
65
+ | 0.039 | 14.0 | 4494 | 2.8980 | 0.6414 | 0.6299 |
66
+ | 0.0206 | 15.0 | 4815 | 3.0858 | 0.6319 | 0.6253 |
67
+ | 0.0168 | 16.0 | 5136 | 3.2408 | 0.6244 | 0.6170 |
68
+ | 0.0168 | 17.0 | 5457 | 3.1809 | 0.6435 | 0.6293 |
69
+ | 0.0123 | 18.0 | 5778 | 3.2629 | 0.6449 | 0.6324 |
70
+ | 0.0055 | 19.0 | 6099 | 3.2866 | 0.6449 | 0.6308 |
71
+ | 0.0055 | 20.0 | 6420 | 3.2997 | 0.6414 | 0.6295 |
72
 
73
 
74
  ### Framework versions