dathi103 commited on
Commit
f387b1c
1 Parent(s): 932666f

End of training

Browse files
Files changed (1) hide show
  1. README.md +14 -14
README.md CHANGED
@@ -15,13 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [dathi103/gbert-job](https://huggingface.co/dathi103/gbert-job) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.1459
19
- - Hard: {'precision': 0.6588983050847458, 'recall': 0.7745952677459527, 'f1': 0.7120778477389812, 'number': 803}
20
- - Soft: {'precision': 0.7010869565217391, 'recall': 0.832258064516129, 'f1': 0.761061946902655, 'number': 155}
21
- - Overall Precision: 0.6658
22
- - Overall Recall: 0.7839
23
- - Overall F1: 0.7200
24
- - Overall Accuracy: 0.9560
25
 
26
  ## Model description
27
 
@@ -50,13 +50,13 @@ The following hyperparameters were used during training:
50
 
51
  ### Training results
52
 
53
- | Training Loss | Epoch | Step | Validation Loss | Hard | Soft | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
54
- |:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
55
- | No log | 1.0 | 158 | 0.1363 | {'precision': 0.5074626865671642, 'recall': 0.6774595267745953, 'f1': 0.5802666666666667, 'number': 803} | {'precision': 0.5432692307692307, 'recall': 0.7290322580645161, 'f1': 0.6225895316804407, 'number': 155} | 0.5133 | 0.6858 | 0.5871 | 0.9451 |
56
- | No log | 2.0 | 316 | 0.1282 | {'precision': 0.6240913811007269, 'recall': 0.7484433374844334, 'f1': 0.680634201585504, 'number': 803} | {'precision': 0.59, 'recall': 0.7612903225806451, 'f1': 0.6647887323943662, 'number': 155} | 0.6182 | 0.7505 | 0.6780 | 0.9504 |
57
- | No log | 3.0 | 474 | 0.1240 | {'precision': 0.653475935828877, 'recall': 0.7608966376089664, 'f1': 0.7031070195627158, 'number': 803} | {'precision': 0.6597938144329897, 'recall': 0.8258064516129032, 'f1': 0.7335243553008597, 'number': 155} | 0.6546 | 0.7714 | 0.7082 | 0.9550 |
58
- | 0.1378 | 4.0 | 632 | 0.1341 | {'precision': 0.6843267108167771, 'recall': 0.772104607721046, 'f1': 0.7255705090696314, 'number': 803} | {'precision': 0.6822916666666666, 'recall': 0.8451612903225807, 'f1': 0.7550432276657061, 'number': 155} | 0.6840 | 0.7839 | 0.7305 | 0.9578 |
59
- | 0.1378 | 5.0 | 790 | 0.1459 | {'precision': 0.6588983050847458, 'recall': 0.7745952677459527, 'f1': 0.7120778477389812, 'number': 803} | {'precision': 0.7010869565217391, 'recall': 0.832258064516129, 'f1': 0.761061946902655, 'number': 155} | 0.6658 | 0.7839 | 0.7200 | 0.9560 |
60
 
61
 
62
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [dathi103/gbert-job](https://huggingface.co/dathi103/gbert-job) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.1383
19
+ - Hard: {'precision': 0.6893203883495146, 'recall': 0.7802197802197802, 'f1': 0.7319587628865979, 'number': 364}
20
+ - Soft: {'precision': 0.6329113924050633, 'recall': 0.7575757575757576, 'f1': 0.6896551724137931, 'number': 66}
21
+ - Overall Precision: 0.6802
22
+ - Overall Recall: 0.7767
23
+ - Overall F1: 0.7253
24
+ - Overall Accuracy: 0.9570
25
 
26
  ## Model description
27
 
 
50
 
51
  ### Training results
52
 
53
+ | Training Loss | Epoch | Step | Validation Loss | Hard | Soft | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
54
+ |:-------------:|:-----:|:----:|:---------------:|:--------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------------------:|:-----------------:|:--------------:|:----------:|:----------------:|
55
+ | No log | 1.0 | 178 | 0.1186 | {'precision': 0.5478260869565217, 'recall': 0.6923076923076923, 'f1': 0.6116504854368932, 'number': 364} | {'precision': 0.5070422535211268, 'recall': 0.5454545454545454, 'f1': 0.5255474452554744, 'number': 66} | 0.5424 | 0.6698 | 0.5994 | 0.9511 |
56
+ | No log | 2.0 | 356 | 0.1073 | {'precision': 0.6247030878859857, 'recall': 0.7225274725274725, 'f1': 0.6700636942675159, 'number': 364} | {'precision': 0.573170731707317, 'recall': 0.7121212121212122, 'f1': 0.6351351351351352, 'number': 66} | 0.6163 | 0.7209 | 0.6645 | 0.9572 |
57
+ | 0.1381 | 3.0 | 534 | 0.1310 | {'precision': 0.6836734693877551, 'recall': 0.7362637362637363, 'f1': 0.7089947089947091, 'number': 364} | {'precision': 0.5632183908045977, 'recall': 0.7424242424242424, 'f1': 0.6405228758169934, 'number': 66} | 0.6618 | 0.7372 | 0.6975 | 0.9574 |
58
+ | 0.1381 | 4.0 | 712 | 0.1350 | {'precision': 0.7019704433497537, 'recall': 0.782967032967033, 'f1': 0.7402597402597403, 'number': 364} | {'precision': 0.6024096385542169, 'recall': 0.7575757575757576, 'f1': 0.6711409395973154, 'number': 66} | 0.6851 | 0.7791 | 0.7291 | 0.9564 |
59
+ | 0.1381 | 5.0 | 890 | 0.1383 | {'precision': 0.6893203883495146, 'recall': 0.7802197802197802, 'f1': 0.7319587628865979, 'number': 364} | {'precision': 0.6329113924050633, 'recall': 0.7575757575757576, 'f1': 0.6896551724137931, 'number': 66} | 0.6802 | 0.7767 | 0.7253 | 0.9570 |
60
 
61
 
62
  ### Framework versions