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test-reward-model

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Adzka/reward-model-distilbert-indo

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Files changed (6) hide show
  1. README.md +8 -8
  2. emissions.csv +2 -1
  3. model.safetensors +1 -1
  4. runs/Jul02_03-49-48_DESKTOP-HH0RPGN/events.out.tfevents.1719866994.DESKTOP-HH0RPGN.8452.0 +3 -0
  5. runs/Jul02_03-49-48_DESKTOP-HH0RPGN/events.out.tfevents.1719867190.DESKTOP-HH0RPGN.8452.1 +3 -0
  6. 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: 0.3747
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- - Accuracy: 0.8065
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  ## Model description
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@@ -50,12 +50,12 @@ 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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- | 0.7012 | 1.32 | 50 | 0.6762 | 0.7527 |
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- | 0.6653 | 2.63 | 100 | 0.6082 | 0.7849 |
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- | 0.5322 | 3.95 | 150 | 0.4744 | 0.7957 |
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- | 0.3976 | 5.26 | 200 | 0.4062 | 0.8387 |
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- | 0.2965 | 6.58 | 250 | 0.3775 | 0.8065 |
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- | 0.2743 | 7.89 | 300 | 0.3747 | 0.8065 |
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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: 0.3758
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+ - Accuracy: 0.8387
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  ## Model description
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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
emissions.csv CHANGED
@@ -7,4 +7,5 @@ timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_po
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  2024-07-02T02:32:17,codecarbon,0edcbdc8-5afa-4f4b-89f8-41f73ce236d3,383.8124597072601,0.0123353152373074,3.213891296472194e-05,42.5,139.963,11.946327209472656,0.0045303967917958,0.0139885160546484,0.0012720245274006,0.0197909373738449,Indonesia,IDN,west java,,,Windows-10-10.0.19045-SP0,3.11.5,2.2.3,8,12th Gen Intel(R) Core(TM) i3-12100F,1,1 x NVIDIA GeForce RTX 3060,107.6071,-6.9217,31.85687255859375,machine,N,1.0
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  2024-07-02T03:19:09,codecarbon,482897bf-c691-4139-8987-40f8add1dd78,1912.4737572669983,0.0001664011673996,8.70083402542768e-08,42.5,89.17500000000001,11.946327209472656,0.0225756706554028,0.0410850229362131,0.0063375658472673,0.0699982594388833,Canada,CAN,quebec,,,Windows-10-10.0.19045-SP0,3.11.5,2.2.3,8,12th Gen Intel(R) Core(TM) i3-12100F,1,1 x NVIDIA GeForce RTX 3060,-71.2,46.8,31.85687255859375,machine,N,1.0
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