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Nared45
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roberta-base_correlation

Text Classification
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End of training

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  1. README.md +12 -7
  2. logs/events.out.tfevents.1711730459.5979db352813.5267.0 +3 -0
  3. logs/events.out.tfevents.1711730799.5979db352813.5267.1 +3 -0
  4. model.safetensors +1 -1
  5. training_args.bin +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: 0.6298
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  ## Model description
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@@ -41,17 +41,22 @@ 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: 500
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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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- | 0.6518 | 1.0 | 198 | 0.6298 |
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- | 0.6277 | 2.0 | 396 | 0.6410 |
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- | 0.6441 | 3.0 | 594 | 0.6763 |
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- | 0.7785 | 4.0 | 792 | 0.6315 |
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- | 0.6653 | 5.0 | 990 | 0.6298 |
 
 
 
 
 
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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: 0.6586
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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: 500
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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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+ | 0.6934 | 1.0 | 198 | 0.7427 |
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+ | 0.6614 | 2.0 | 396 | 0.6910 |
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+ | 0.6085 | 3.0 | 594 | 0.6586 |
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+ | 0.7075 | 4.0 | 792 | 0.6990 |
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+ | 0.6757 | 5.0 | 990 | 0.6594 |
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+ | 0.6255 | 6.0 | 1188 | 0.6685 |
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+ | 0.6672 | 7.0 | 1386 | 0.6613 |
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+ | 0.63 | 8.0 | 1584 | 0.6626 |
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+ | 0.6864 | 9.0 | 1782 | 0.6603 |
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+ | 0.5947 | 10.0 | 1980 | 0.6610 |
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  ### Framework versions
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