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End of training

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README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.7275
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [LazarusNLP/NusaBERT-base](https://huggingface.co/LazarusNLP/NusaBERT-base) on the indonlu dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9150
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- - F1: 0.7275
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  ## Model description
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@@ -57,26 +57,24 @@ The following hyperparameters were used during training:
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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: cosine
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  - num_epochs: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 111 | 1.1739 | 0.5257 |
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- | No log | 2.0 | 222 | 0.8140 | 0.7112 |
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- | No log | 3.0 | 333 | 0.7669 | 0.7269 |
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- | No log | 4.0 | 444 | 0.7582 | 0.7291 |
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- | 0.8669 | 5.0 | 555 | 0.8084 | 0.7331 |
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- | 0.8669 | 6.0 | 666 | 0.7993 | 0.7351 |
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- | 0.8669 | 7.0 | 777 | 0.8812 | 0.7427 |
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- | 0.8669 | 8.0 | 888 | 0.9146 | 0.7477 |
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- | 0.8669 | 9.0 | 999 | 1.0099 | 0.7473 |
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- | 0.2674 | 10.0 | 1110 | 1.1308 | 0.7285 |
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- | 0.2674 | 11.0 | 1221 | 1.1548 | 0.7382 |
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- | 0.2674 | 12.0 | 1332 | 1.2518 | 0.7318 |
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- | 0.2674 | 13.0 | 1443 | 1.4757 | 0.7084 |
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.761
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [LazarusNLP/NusaBERT-base](https://huggingface.co/LazarusNLP/NusaBERT-base) on the indonlu dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7778
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+ - F1: 0.761
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  ## Model description
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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
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  - num_epochs: 100
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 111 | 1.2158 | 0.5511 |
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+ | No log | 2.0 | 222 | 0.8299 | 0.6929 |
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+ | No log | 3.0 | 333 | 0.7713 | 0.7324 |
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+ | No log | 4.0 | 444 | 0.7383 | 0.7431 |
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+ | 0.8834 | 5.0 | 555 | 0.7813 | 0.7261 |
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+ | 0.8834 | 6.0 | 666 | 0.7781 | 0.7591 |
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+ | 0.8834 | 7.0 | 777 | 0.8360 | 0.7375 |
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+ | 0.8834 | 8.0 | 888 | 0.8802 | 0.7287 |
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+ | 0.8834 | 9.0 | 999 | 0.9192 | 0.7474 |
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+ | 0.2881 | 10.0 | 1110 | 1.0433 | 0.733 |
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+ | 0.2881 | 11.0 | 1221 | 1.0686 | 0.7277 |
 
 
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  ### Framework versions
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