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roberta-base-riddle-finetuned_new

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roberta
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End of training

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Files changed (4) hide show
  1. README.md +31 -31
  2. model.safetensors +1 -1
  3. tokenizer.json +1 -8
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4390
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  - Accuracy: 0.8500
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  ## Model description
@@ -49,36 +49,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 12 | 0.5382 | 0.7250 |
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- | No log | 2.0 | 24 | 0.5175 | 0.8250 |
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- | No log | 3.0 | 36 | 0.4701 | 0.8250 |
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- | No log | 4.0 | 48 | 0.5083 | 0.8500 |
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- | No log | 5.0 | 60 | 0.4635 | 0.8250 |
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- | No log | 6.0 | 72 | 0.4749 | 0.8250 |
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- | No log | 7.0 | 84 | 0.5780 | 0.8250 |
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- | No log | 8.0 | 96 | 0.5701 | 0.8000 |
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- | No log | 9.0 | 108 | 0.5375 | 0.8250 |
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- | No log | 10.0 | 120 | 0.4871 | 0.8500 |
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- | No log | 11.0 | 132 | 0.4021 | 0.8500 |
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- | No log | 12.0 | 144 | 0.3977 | 0.875 |
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- | No log | 13.0 | 156 | 0.4162 | 0.875 |
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- | No log | 14.0 | 168 | 0.4071 | 0.9000 |
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- | No log | 15.0 | 180 | 0.3913 | 0.9000 |
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- | No log | 16.0 | 192 | 0.4377 | 0.875 |
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- | No log | 17.0 | 204 | 0.4808 | 0.8500 |
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- | No log | 18.0 | 216 | 0.5257 | 0.8500 |
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- | No log | 19.0 | 228 | 0.4554 | 0.8500 |
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- | No log | 20.0 | 240 | 0.5088 | 0.875 |
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- | No log | 21.0 | 252 | 0.4434 | 0.8500 |
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- | No log | 22.0 | 264 | 0.4681 | 0.8250 |
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- | No log | 23.0 | 276 | 0.5076 | 0.8250 |
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- | No log | 24.0 | 288 | 0.5196 | 0.8000 |
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- | No log | 25.0 | 300 | 0.4749 | 0.8000 |
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- | No log | 26.0 | 312 | 0.4688 | 0.8250 |
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- | No log | 27.0 | 324 | 0.4602 | 0.8500 |
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- | No log | 28.0 | 336 | 0.4641 | 0.8500 |
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- | No log | 29.0 | 348 | 0.4373 | 0.8500 |
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- | No log | 30.0 | 360 | 0.4390 | 0.8500 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3790
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  - Accuracy: 0.8500
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 12 | 0.5336 | 0.8500 |
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+ | No log | 2.0 | 24 | 0.4572 | 0.8500 |
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+ | No log | 3.0 | 36 | 0.3991 | 0.9000 |
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+ | No log | 4.0 | 48 | 0.3790 | 0.8500 |
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+ | No log | 5.0 | 60 | 0.4529 | 0.8000 |
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+ | No log | 6.0 | 72 | 0.5225 | 0.8000 |
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+ | No log | 7.0 | 84 | 0.5381 | 0.8250 |
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+ | No log | 8.0 | 96 | 0.5738 | 0.8500 |
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+ | No log | 9.0 | 108 | 0.5758 | 0.8250 |
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+ | No log | 10.0 | 120 | 0.5627 | 0.8500 |
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+ | No log | 11.0 | 132 | 0.4983 | 0.875 |
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+ | No log | 12.0 | 144 | 0.5848 | 0.8500 |
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+ | No log | 13.0 | 156 | 0.5040 | 0.8500 |
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+ | No log | 14.0 | 168 | 0.6485 | 0.8500 |
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+ | No log | 15.0 | 180 | 0.6654 | 0.8500 |
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+ | No log | 16.0 | 192 | 0.5779 | 0.8500 |
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+ | No log | 17.0 | 204 | 0.6940 | 0.8500 |
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+ | No log | 18.0 | 216 | 0.6408 | 0.8500 |
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+ | No log | 19.0 | 228 | 0.6237 | 0.8500 |
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+ | No log | 20.0 | 240 | 0.6665 | 0.8500 |
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+ | No log | 21.0 | 252 | 0.6598 | 0.8250 |
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+ | No log | 22.0 | 264 | 0.5985 | 0.8250 |
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+ | No log | 23.0 | 276 | 0.6515 | 0.8500 |
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+ | No log | 24.0 | 288 | 0.6824 | 0.8250 |
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+ | No log | 25.0 | 300 | 0.6655 | 0.8500 |
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+ | No log | 26.0 | 312 | 0.6800 | 0.8250 |
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+ | No log | 27.0 | 324 | 0.6631 | 0.8500 |
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+ | No log | 28.0 | 336 | 0.6138 | 0.8500 |
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+ | No log | 29.0 | 348 | 0.5992 | 0.8500 |
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+ | No log | 30.0 | 360 | 0.6042 | 0.8500 |
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  ### Framework versions
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