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test-reward-model

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Adzka/reward-model-distilbert-indo

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Files changed (8) hide show
  1. README.md +15 -9
  2. emissions.csv +3 -1
  3. model.safetensors +1 -1
  4. runs/Jul02_04-00-18_DESKTOP-HH0RPGN/events.out.tfevents.1719867624.DESKTOP-HH0RPGN.8452.2 +3 -0
  5. runs/Jul02_04-00-18_DESKTOP-HH0RPGN/events.out.tfevents.1719867811.DESKTOP-HH0RPGN.8452.3 +3 -0
  6. runs/Jul02_04-06-03_DESKTOP-HH0RPGN/events.out.tfevents.1719867969.DESKTOP-HH0RPGN.11720.0 +3 -0
  7. runs/Jul02_04-06-03_DESKTOP-HH0RPGN/events.out.tfevents.1719868200.DESKTOP-HH0RPGN.11720.1 +3 -0
  8. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3758
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- - Accuracy: 0.8387
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  ## Model description
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@@ -38,7 +38,7 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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- - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -50,12 +50,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.7011 | 1.32 | 50 | 0.6762 | 0.7634 |
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- | 0.6657 | 2.63 | 100 | 0.6092 | 0.7849 |
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- | 0.5358 | 3.95 | 150 | 0.4786 | 0.8065 |
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- | 0.4035 | 5.26 | 200 | 0.4114 | 0.8387 |
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- | 0.3018 | 6.58 | 250 | 0.3800 | 0.8280 |
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- | 0.2811 | 7.89 | 300 | 0.3771 | 0.8387 |
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [w11wo/indonesian-roberta-base-sentiment-classifier](https://huggingface.co/w11wo/indonesian-roberta-base-sentiment-classifier) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3029
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+ - Accuracy: 0.8495
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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+ - train_batch_size: 4
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  - eval_batch_size: 8
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.7178 | 0.67 | 50 | 0.6865 | 0.6559 |
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+ | 0.6865 | 1.33 | 100 | 0.6697 | 0.7742 |
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+ | 0.6619 | 2.0 | 150 | 0.6232 | 0.8172 |
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+ | 0.558 | 2.67 | 200 | 0.4934 | 0.8387 |
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+ | 0.4172 | 3.33 | 250 | 0.4207 | 0.8387 |
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+ | 0.3574 | 4.0 | 300 | 0.3626 | 0.8387 |
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+ | 0.2815 | 4.67 | 350 | 0.3869 | 0.8495 |
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+ | 0.206 | 5.33 | 400 | 0.3372 | 0.8710 |
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+ | 0.1772 | 6.0 | 450 | 0.3324 | 0.8387 |
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+ | 0.1368 | 6.67 | 500 | 0.3557 | 0.8387 |
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+ | 0.1472 | 7.33 | 550 | 0.3380 | 0.8495 |
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+ | 0.1321 | 8.0 | 600 | 0.3029 | 0.8495 |
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  ### Framework versions
emissions.csv CHANGED
@@ -8,4 +8,6 @@ timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_po
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