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XLnet-cased-AS-HU-f1-score

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End of training

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  1. README.md +18 -13
  2. model.safetensors +1 -1
  3. runs/Jun01_18-28-25_raul-MS-7B98/events.out.tfevents.1717284508.raul-MS-7B98.7217.0 +2 -2
README.md CHANGED
@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5247
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- - F1-score: 0.7609
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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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  - 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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1-score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.7055 | 1.0 | 64 | 0.6796 | 0.3697 |
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- | 0.6944 | 2.0 | 128 | 0.6786 | 0.3697 |
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- | 0.7 | 3.0 | 192 | 0.6800 | 0.3697 |
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- | 0.6818 | 4.0 | 256 | 0.6797 | 0.3697 |
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- | 0.6848 | 5.0 | 320 | 0.6902 | 0.3697 |
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- | 0.6898 | 6.0 | 384 | 0.6777 | 0.3697 |
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- | 0.6877 | 7.0 | 448 | 0.6648 | 0.3697 |
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- | 0.6805 | 8.0 | 512 | 0.6313 | 0.3697 |
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- | 0.5873 | 9.0 | 576 | 0.6145 | 0.6381 |
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- | 0.4984 | 10.0 | 640 | 0.5247 | 0.7609 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6569
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+ - F1-score: 0.8203
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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: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1-score |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.7105 | 1.0 | 64 | 0.6670 | 0.3697 |
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+ | 0.654 | 2.0 | 128 | 0.6053 | 0.6119 |
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+ | 0.509 | 3.0 | 192 | 0.4952 | 0.7471 |
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+ | 0.3514 | 4.0 | 256 | 0.5171 | 0.7849 |
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+ | 0.2233 | 5.0 | 320 | 0.6229 | 0.8059 |
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+ | 0.1441 | 6.0 | 384 | 0.9291 | 0.8112 |
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+ | 0.1376 | 7.0 | 448 | 1.4415 | 0.7421 |
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+ | 0.0624 | 8.0 | 512 | 1.3527 | 0.8128 |
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+ | 0.0224 | 9.0 | 576 | 1.4643 | 0.8103 |
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+ | 0.0136 | 10.0 | 640 | 1.3725 | 0.8268 |
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+ | 0.0177 | 11.0 | 704 | 1.5826 | 0.8142 |
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+ | 0.0101 | 12.0 | 768 | 1.6241 | 0.8150 |
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+ | 0.0003 | 13.0 | 832 | 1.6149 | 0.8165 |
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+ | 0.0002 | 14.0 | 896 | 1.6481 | 0.8203 |
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+ | 0.0001 | 15.0 | 960 | 1.6569 | 0.8203 |
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  ### Framework versions
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