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End of training

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  1. README.md +6 -8
  2. model.safetensors +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 [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6947
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- - Accuracy: 0.4211
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  ## Model description
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@@ -43,17 +43,15 @@ 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 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 21 | 1.5555 | 0.3684 |
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- | No log | 2.0 | 42 | 1.4938 | 0.5263 |
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- | No log | 3.0 | 63 | 1.6416 | 0.4737 |
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- | No log | 4.0 | 84 | 1.6540 | 0.3684 |
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- | No log | 5.0 | 105 | 1.6947 | 0.4211 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4740
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+ - Accuracy: 0.36
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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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 28 | 1.4406 | 0.36 |
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+ | No log | 2.0 | 56 | 1.4492 | 0.36 |
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+ | No log | 3.0 | 84 | 1.4740 | 0.36 |
 
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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