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BERT_Base_Uncase_FineTuned

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  1. README.md +12 -7
  2. model.safetensors +1 -1
  3. runs/Feb19_10-53-26_99df4c8bd387/events.out.tfevents.1708340006.99df4c8bd387.171.6 +2 -2
  4. runs/Feb19_10-53-26_99df4c8bd387/events.out.tfevents.1708341758.99df4c8bd387.171.7 +3 -0
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0678
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  ## Model description
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@@ -40,17 +40,22 @@ The following hyperparameters were used during training:
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.0076 | 1.0 | 217 | 0.1836 |
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- | 0.0282 | 2.0 | 434 | 0.1188 |
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- | 0.0016 | 3.0 | 651 | 0.0902 |
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- | 0.0163 | 4.0 | 868 | 0.0758 |
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- | 0.001 | 5.0 | 1085 | 0.0678 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0174
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  ## Model description
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 217 | 0.2024 |
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+ | No log | 2.0 | 434 | 0.1162 |
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+ | 0.3657 | 3.0 | 651 | 0.0861 |
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+ | 0.3657 | 4.0 | 868 | 0.0575 |
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+ | 0.0912 | 5.0 | 1085 | 0.0413 |
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+ | 0.0912 | 6.0 | 1302 | 0.0418 |
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+ | 0.0513 | 7.0 | 1519 | 0.0290 |
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+ | 0.0513 | 8.0 | 1736 | 0.0219 |
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+ | 0.0513 | 9.0 | 1953 | 0.0183 |
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+ | 0.0314 | 10.0 | 2170 | 0.0174 |
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  ### Framework versions
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