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End of training

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  1. README.md +7 -9
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ 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: 1.0787
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- - F1: 0.6281
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  ## Model description
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@@ -44,18 +44,16 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 1.0616 | 1.0 | 563 | 1.0818 | 0.5384 |
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- | 0.8825 | 2.0 | 1126 | 0.9164 | 0.6085 |
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- | 0.7802 | 3.0 | 1689 | 0.9580 | 0.5993 |
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- | 0.6835 | 4.0 | 2252 | 0.8985 | 0.6355 |
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- | 0.5907 | 5.0 | 2815 | 0.9934 | 0.6343 |
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- | 0.4975 | 6.0 | 3378 | 1.0787 | 0.6281 |
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  ### Framework versions
 
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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: 0.9199
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+ - F1: 0.6244
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.0697 | 1.0 | 563 | 1.0279 | 0.5366 |
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+ | 0.8777 | 2.0 | 1126 | 0.9148 | 0.6086 |
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+ | 0.7762 | 3.0 | 1689 | 0.8739 | 0.6292 |
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+ | 0.6937 | 4.0 | 2252 | 0.9199 | 0.6244 |
 
 
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  ### Framework versions
model.safetensors CHANGED
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  size 498625128
 
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