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DeeeTeeee01
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mytest_trainer_base-cased

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update model card README.md

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  ---
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  license: mit
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -14,8 +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: 0.9503
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- - Rmse: 0.7134
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  ## Model description
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@@ -46,21 +47,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rmse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.9734 | 1.0 | 500 | 0.9593 | 0.9513 |
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- | 0.966 | 2.0 | 1000 | 0.9822 | 0.7134 |
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- | 0.9643 | 3.0 | 1500 | 0.9556 | 0.7134 |
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- | 0.9615 | 4.0 | 2000 | 0.9510 | 0.7134 |
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- | 0.959 | 5.0 | 2500 | 0.9540 | 0.7134 |
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- | 0.9572 | 6.0 | 3000 | 0.9503 | 0.7134 |
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- | 0.9571 | 7.0 | 3500 | 0.9760 | 0.7134 |
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- | 0.9561 | 8.0 | 4000 | 0.9534 | 0.7134 |
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- | 0.9526 | 9.0 | 4500 | 0.9500 | 0.7134 |
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- | 0.9527 | 10.0 | 5000 | 0.9503 | 0.7134 |
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  ### Framework versions
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- - Transformers 4.30.2
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.13.1
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  - Tokenizers 0.13.3
 
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  ---
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  license: mit
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+ base_model: xlnet-base-cased
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  tags:
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  - generated_from_trainer
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  model-index:
 
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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: 1.6637
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+ - Rmse: 0.7007
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rmse |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.7404 | 1.0 | 500 | 0.6673 | 0.6971 |
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+ | 0.6377 | 2.0 | 1000 | 0.6914 | 0.7639 |
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+ | 0.5187 | 3.0 | 1500 | 0.7006 | 0.7085 |
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+ | 0.3965 | 4.0 | 2000 | 0.8131 | 0.6812 |
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+ | 0.2847 | 5.0 | 2500 | 0.9636 | 0.6667 |
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+ | 0.2269 | 6.0 | 3000 | 1.2705 | 0.6971 |
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+ | 0.1794 | 7.0 | 3500 | 1.2702 | 0.6815 |
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+ | 0.1419 | 8.0 | 4000 | 1.4109 | 0.6667 |
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+ | 0.1091 | 9.0 | 4500 | 1.6009 | 0.6859 |
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+ | 0.0844 | 10.0 | 5000 | 1.6637 | 0.7007 |
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  ### Framework versions
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+ - Transformers 4.31.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.13.1
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  - Tokenizers 0.13.3