Hugging Face's logo

dtorber
/
bert-base-cased

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files
xet
Metrics Community
dtorber commited on
Commit
0c8bf2c
·
verified ·
1 Parent(s): def8114

Model save

Browse files
Files changed (3) hide show
  1. README.md +16 -10
  2. model.safetensors +1 -1
  3. runs/Apr22_16-16-35_tardis/events.out.tfevents.1713795645.tardis.89184.1 +3 -0
README.md CHANGED
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.5824
19
- - Icm: 0.1983
20
- - Icmnorm: 0.6007
21
- - Fmeasure: 0.7363
22
 
23
  ## Model description
24
 
@@ -44,16 +44,22 @@ The following hyperparameters were used during training:
44
  - distributed_type: multi-GPU
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
- - num_epochs: 3
48
  - mixed_precision_training: Native AMP
49
 
50
  ### Training results
51
 
52
- | Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure |
53
- |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:--------:|
54
- | No log | 1.0 | 193 | 0.5964 | -0.1077 | 0.4453 | 0.6054 |
55
- | No log | 2.0 | 386 | 0.5431 | 0.1174 | 0.5597 | 0.7054 |
56
- | 0.5741 | 3.0 | 579 | 0.5824 | 0.1983 | 0.6007 | 0.7363 |
 
 
 
 
 
 
57
 
58
 
59
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 1.0696
19
+ - Icm: 0.2500
20
+ - Icmnorm: 0.6270
21
+ - Fmeasure: 0.7527
22
 
23
  ## Model description
24
 
 
44
  - distributed_type: multi-GPU
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
+ - num_epochs: 9
48
  - mixed_precision_training: Native AMP
49
 
50
  ### Training results
51
 
52
+ | Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure |
53
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
54
+ | No log | 1.0 | 193 | 0.5532 | 0.0296 | 0.5150 | 0.6799 |
55
+ | No log | 2.0 | 386 | 0.5675 | 0.0351 | 0.5178 | 0.6717 |
56
+ | 0.5622 | 3.0 | 579 | 0.6747 | 0.0529 | 0.5269 | 0.6855 |
57
+ | 0.5622 | 4.0 | 772 | 1.0832 | 0.0550 | 0.5280 | 0.6862 |
58
+ | 0.5622 | 5.0 | 965 | 1.0696 | 0.2500 | 0.6270 | 0.7527 |
59
+ | 0.245 | 6.0 | 1158 | 1.2607 | 0.1418 | 0.5721 | 0.7156 |
60
+ | 0.245 | 7.0 | 1351 | 1.4368 | 0.1713 | 0.5870 | 0.7273 |
61
+ | 0.1099 | 8.0 | 1544 | 1.6234 | 0.1002 | 0.5509 | 0.7029 |
62
+ | 0.1099 | 9.0 | 1737 | 1.6115 | 0.1480 | 0.5752 | 0.7194 |
63
 
64
 
65
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:55d693998023bf0d817425f33f65cf2d72f176f4f296c7907626617d13f6d9b3
3
  size 433270768
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bfe0c4333d66110c6f2b7d84f4f478f1bae3335e186d90fc9cc401d44bf72fa7
3
  size 433270768
runs/Apr22_16-16-35_tardis/events.out.tfevents.1713795645.tardis.89184.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5b910619d2216e74f902654fef20f6c2f0e9b8a214abc93c488d89658954b40
3
+ size 509