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indobert-smsa_doc-finetuned

Text Classification
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bert
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End of training

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Files changed (3) hide show
  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Oct06_09-00-23_c8dd5f04cfbe/events.out.tfevents.1728205224.c8dd5f04cfbe.2765.0 +2 -2
README.md CHANGED
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  ---
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  library_name: transformers
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  license: mit
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- base_model: indobenchmark/indobert-large-p1
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # indobert-smsa_doc-finetuned
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- This model is a fine-tuned version of [indobenchmark/indobert-large-p1](https://huggingface.co/indobenchmark/indobert-large-p1) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3324
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- - Precision: 0.9413
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- - F1: 0.9413
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  ## Model description
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@@ -41,8 +41,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 64
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- - eval_batch_size: 64
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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- | 0.0285 | 1.0 | 1238 | 0.2476 | 0.9357 | 0.9357 |
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- | 0.0076 | 2.0 | 2476 | 0.2532 | 0.9397 | 0.9397 |
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- | 0.001 | 3.0 | 3714 | 0.3324 | 0.9413 | 0.9413 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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  license: mit
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+ base_model: indobenchmark/indobert-base-p2
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # indobert-smsa_doc-finetuned
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+ This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7818
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+ - Precision: 0.9405
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+ - F1: 0.9405
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
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+ | 0.2174 | 1.0 | 2481 | 0.4282 | 0.9230 | 0.9230 |
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+ | 0.0955 | 2.0 | 4962 | 0.7811 | 0.9405 | 0.9405 |
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+ | 0.0435 | 3.0 | 7443 | 0.7818 | 0.9405 | 0.9405 |
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  ### Framework versions
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