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bwahyuh
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gemash

Text Classification
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Safetensors
bert
Generated from Trainer
text-embeddings-inference
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Training complete

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Jun27_21-03-59_d659fc3b4cba/events.out.tfevents.1719522772.d659fc3b4cba.259.1 +3 -0
  4. runs/Jun27_21-15-34_d659fc3b4cba/events.out.tfevents.1719522934.d659fc3b4cba.259.2 +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. -->
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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: 0.9097
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- - Accuracy: 0.7967
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- - Precision: 0.8119
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- - Recall: 0.8100
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- - F1: 0.8108
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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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- | 1.264 | 1.0 | 169 | 0.9793 | 0.6183 | 0.6543 | 0.6580 | 0.6379 |
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- | 0.6662 | 2.0 | 338 | 0.7348 | 0.77 | 0.8036 | 0.7738 | 0.7841 |
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- | 0.2635 | 3.0 | 507 | 0.8047 | 0.7817 | 0.7895 | 0.8000 | 0.7938 |
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- | 0.0852 | 4.0 | 676 | 0.9097 | 0.7967 | 0.8119 | 0.8100 | 0.8108 |
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  ### Framework versions
 
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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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  | 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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