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apwic
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sentiment-base-0

Transformers
TensorBoard
Safetensors
Indonesian
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
apwic commited on
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ce6d71f
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1 Parent(s): 02e6dee

Training in progress, epoch 1

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  1. README.md +16 -0
  2. all_results.json +17 -0
  3. eval_results.json +12 -0
  4. model.safetensors +1 -1
  5. predict_results.txt +1012 -0
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  48. train_results.json +8 -0
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README.md CHANGED
@@ -1,8 +1,15 @@
1
  ---
 
 
2
  license: mit
3
  base_model: indolem/indobert-base-uncased
4
  tags:
5
  - generated_from_trainer
 
 
 
 
 
6
  model-index:
7
  - name: sentiment-base-0
8
  results: []
@@ -14,6 +21,12 @@ should probably proofread and complete it, then remove this comment. -->
14
  # sentiment-base-0
15
 
16
  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
 
 
 
 
 
 
17
 
18
  ## Model description
19
 
@@ -42,6 +55,9 @@ The following hyperparameters were used during training:
42
 
43
  ### Training results
44
 
 
 
 
45
 
46
 
47
  ### Framework versions
 
1
  ---
2
+ language:
3
+ - id
4
  license: mit
5
  base_model: indolem/indobert-base-uncased
6
  tags:
7
  - generated_from_trainer
8
+ metrics:
9
+ - accuracy
10
+ - precision
11
+ - recall
12
+ - f1
13
  model-index:
14
  - name: sentiment-base-0
15
  results: []
 
21
  # sentiment-base-0
22
 
23
  This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
24
+ It achieves the following results on the evaluation set:
25
+ - Loss: 0.3222
26
+ - Accuracy: 0.8496
27
+ - Precision: 0.8193
28
+ - Recall: 0.8161
29
+ - F1: 0.8177
30
 
31
  ## Model description
32
 
 
55
 
56
  ### Training results
57
 
58
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
59
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
60
+ | 0.3913 | 1.0 | 122 | 0.3222 | 0.8496 | 0.8193 | 0.8161 | 0.8177 |
61
 
62
 
63
  ### Framework versions
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