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bwahyuh
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gemash

Text Classification
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bert
Generated from Trainer
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Training complete

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Files changed (7) hide show
  1. README.md +12 -12
  2. config.json +1 -2
  3. model.safetensors +1 -1
  4. runs/Jun28_09-59-44_6ad905270735/events.out.tfevents.1719568785.6ad905270735.326.0 +3 -0
  5. tokenizer.json +0 -0
  6. training_args.bin +1 -1
  7. vocab.txt +0 -0
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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- license: apache-2.0
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- base_model: indolem/indobertweet-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # gemash
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- This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8641
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- - Accuracy: 0.7867
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- - Precision: 0.8007
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- - Recall: 0.7963
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- - F1: 0.7984
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  ## Model description
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@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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- | 1.3221 | 1.0 | 169 | 1.0269 | 0.6067 | 0.6758 | 0.6354 | 0.6353 |
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- | 0.7301 | 2.0 | 338 | 0.7482 | 0.745 | 0.7819 | 0.7463 | 0.7601 |
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- | 0.2799 | 3.0 | 507 | 0.8165 | 0.7683 | 0.7804 | 0.7911 | 0.7807 |
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- | 0.0876 | 4.0 | 676 | 0.8641 | 0.7867 | 0.8007 | 0.7963 | 0.7984 |
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  ### Framework versions
 
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  ---
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+ license: mit
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+ base_model: indolem/indobert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # gemash
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+ This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8077
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+ - Accuracy: 0.7517
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+ - Precision: 0.7645
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+ - Recall: 0.7614
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+ - F1: 0.7619
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 1.5073 | 1.0 | 169 | 1.3572 | 0.43 | 0.4010 | 0.3978 | 0.3732 |
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+ | 1.1536 | 2.0 | 338 | 1.0170 | 0.6083 | 0.6592 | 0.5946 | 0.5925 |
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+ | 0.7413 | 3.0 | 507 | 0.8618 | 0.7183 | 0.7324 | 0.7277 | 0.7269 |
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+ | 0.446 | 4.0 | 676 | 0.8077 | 0.7517 | 0.7645 | 0.7614 | 0.7619 |
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  ### Framework versions
config.json CHANGED
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  {
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- "_name_or_path": "indolem/indobertweet-base-uncased",
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  "architectures": [
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  "BertForSequenceClassification"
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  ],
@@ -7,7 +7,6 @@
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
 
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  {
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+ "_name_or_path": "indolem/indobert-base-uncased",
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  "architectures": [
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  "BertForSequenceClassification"
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  ],
 
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  "bos_token_id": 0,
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  "classifier_dropout": null,
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  "eos_token_ids": 0,
 
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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vocab.txt CHANGED
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