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COPA_Bert_Base_Uncased_Finetuned

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  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. runs/Jun03_03-47-10_bcf1da250b13/events.out.tfevents.1717386431.bcf1da250b13.3957.0 +2 -2
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: bert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # COPA_Bert_Base_Uncased_Finetuned
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5960
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- - F1: 0.7061
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  ## Model description
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@@ -49,21 +49,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 63 | 0.6662 | 0.6468 |
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- | No log | 2.0 | 126 | 0.6215 | 0.6996 |
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- | No log | 3.0 | 189 | 0.5880 | 0.6736 |
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- | No log | 4.0 | 252 | 0.5818 | 0.6944 |
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- | No log | 5.0 | 315 | 0.5777 | 0.6778 |
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- | No log | 6.0 | 378 | 0.5801 | 0.6985 |
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- | No log | 7.0 | 441 | 0.5794 | 0.6969 |
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- | 0.4962 | 8.0 | 504 | 0.5910 | 0.6996 |
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- | 0.4962 | 9.0 | 567 | 0.5950 | 0.7102 |
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- | 0.4962 | 10.0 | 630 | 0.5960 | 0.7061 |
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  ### Framework versions
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- - Transformers 4.41.0
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  ---
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  license: apache-2.0
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+ base_model: Ariffiq99/KUCI_Bert_Base_Finetuned
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # COPA_Bert_Base_Uncased_Finetuned
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+ This model is a fine-tuned version of [Ariffiq99/KUCI_Bert_Base_Finetuned](https://huggingface.co/Ariffiq99/KUCI_Bert_Base_Finetuned) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6213
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+ - F1: 0.7277
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 63 | 0.6227 | 0.6734 |
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+ | No log | 2.0 | 126 | 0.5605 | 0.7236 |
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+ | No log | 3.0 | 189 | 0.5489 | 0.7307 |
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+ | No log | 4.0 | 252 | 0.5547 | 0.7243 |
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+ | No log | 5.0 | 315 | 0.5670 | 0.7216 |
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+ | No log | 6.0 | 378 | 0.5914 | 0.7261 |
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+ | No log | 7.0 | 441 | 0.5938 | 0.7349 |
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+ | 0.4198 | 8.0 | 504 | 0.6092 | 0.7299 |
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+ | 0.4198 | 9.0 | 567 | 0.6192 | 0.7292 |
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+ | 0.4198 | 10.0 | 630 | 0.6213 | 0.7277 |
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  ### Framework versions
65
 
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+ - Transformers 4.41.1
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.1
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  - Tokenizers 0.19.1
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