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End of training

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  1. README.md +13 -8
  2. model.safetensors +1 -1
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 [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7454
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  ## Model description
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@@ -41,22 +41,27 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 300
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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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- | 2.0953 | 1.0 | 638 | 1.7533 |
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- | 1.5883 | 2.0 | 1276 | 1.7634 |
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- | 1.8087 | 3.0 | 1914 | 1.7753 |
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- | 1.613 | 4.0 | 2552 | 1.7514 |
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- | 1.6691 | 5.0 | 3190 | 1.7454 |
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.36.2
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.16.1
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  - Tokenizers 0.15.0
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6561
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 300
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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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+ | 2.0481 | 1.0 | 638 | 1.7660 |
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+ | 1.3097 | 2.0 | 1276 | 1.6561 |
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+ | 1.3712 | 3.0 | 1914 | 1.6632 |
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+ | 1.7868 | 4.0 | 2552 | 1.6640 |
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+ | 1.3863 | 5.0 | 3190 | 1.7156 |
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+ | 1.488 | 6.0 | 3828 | 1.7067 |
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+ | 1.4615 | 7.0 | 4466 | 1.7098 |
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+ | 1.853 | 8.0 | 5104 | 1.7113 |
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+ | 1.574 | 9.0 | 5742 | 1.7162 |
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+ | 2.0823 | 10.0 | 6380 | 1.7148 |
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  ### Framework versions
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+ - Transformers 4.38.0.dev0
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  - Pytorch 2.1.2+cu121
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  - Datasets 2.16.1
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  - Tokenizers 0.15.0
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