Hugging Face's logo

bwahyuh
/
gemash

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files
xet
Metrics Community
bwahyuh commited on
Commit
50c39a5
·
verified ·
1 Parent(s): 078e0b9

Training complete

Browse files
Files changed (5) hide show
  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Jun27_20-16-27_876c8a59313b/events.out.tfevents.1719519958.876c8a59313b.978.1 +3 -0
  4. runs/Jun27_20-40-25_876c8a59313b/events.out.tfevents.1719520826.876c8a59313b.978.2 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 1.2677
24
- - Accuracy: 0.5230
25
- - Precision: 0.3948
26
- - Recall: 0.3457
27
- - F1: 0.3241
28
 
29
  ## Model description
30
 
@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
58
- | 1.4513 | 1.0 | 148 | 1.5218 | 0.2011 | 0.0402 | 0.2 | 0.0670 |
59
- | 1.4262 | 2.0 | 296 | 1.4164 | 0.4349 | 0.0870 | 0.2 | 0.1212 |
60
- | 1.3889 | 3.0 | 444 | 1.3981 | 0.4598 | 0.1682 | 0.2864 | 0.2118 |
61
- | 1.3419 | 4.0 | 592 | 1.3233 | 0.4828 | 0.2784 | 0.2851 | 0.2507 |
62
- | 1.2505 | 5.0 | 740 | 1.2677 | 0.5230 | 0.3948 | 0.3457 | 0.3241 |
63
 
64
 
65
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 1.0263
24
+ - Accuracy: 0.8067
25
+ - Precision: 0.8217
26
+ - Recall: 0.8151
27
+ - F1: 0.8180
28
 
29
  ## Model description
30
 
 
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
57
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
58
+ | 1.3375 | 1.0 | 169 | 1.0069 | 0.61 | 0.6532 | 0.6220 | 0.6296 |
59
+ | 0.7462 | 2.0 | 338 | 0.7319 | 0.7517 | 0.7889 | 0.7544 | 0.7648 |
60
+ | 0.2873 | 3.0 | 507 | 0.8476 | 0.7683 | 0.7848 | 0.7963 | 0.7826 |
61
+ | 0.0875 | 4.0 | 676 | 0.9508 | 0.8 | 0.8171 | 0.8087 | 0.8126 |
62
+ | 0.0307 | 5.0 | 845 | 1.0263 | 0.8067 | 0.8217 | 0.8151 | 0.8180 |
63
 
64
 
65
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:61c8ef7be5b8f24414736b2a356ac5dd3d4a8a8e7654af9c02b58f79af7e900f
3
  size 442271748
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e343f2628df904073fe73de044f15fbb9b8688744c69e7333e56f251e16247b7
3
  size 442271748
runs/Jun27_20-16-27_876c8a59313b/events.out.tfevents.1719519958.876c8a59313b.978.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a219f12a99076fea72b1a436e120a2748aed6a4d61f73988e3259ac8f2f99763
3
+ size 560
runs/Jun27_20-40-25_876c8a59313b/events.out.tfevents.1719520826.876c8a59313b.978.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2cc312aa6bd7f86e19077fd66629560a2eac81492f69fd202923004d20eb3748
3
+ size 8962
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f0b50949de353444afe643259f3dff2bcdfbf4580d71b465e1c5c6a1eb643aae
3
  size 5048
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f0097e20e9244ceafb7e188b1c1d5c6a261a695a15e8ad04a85d9384efc863c
3
  size 5048