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README.md
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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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- name: mytest_trainer_base-cased
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mytest_trainer_base-cased
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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: 0.1983
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- Rmse: 0.2961
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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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 | Rmse |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.2679 | 1.0 | 642 | 0.2250 | 0.3848 |
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| 0.2659 | 2.0 | 1284 | 0.2318 | 0.4252 |
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| 0.2505 | 3.0 | 1926 | 0.2295 | 0.3848 |
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| 0.2478 | 4.0 | 2568 | 0.2329 | 0.3848 |
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| 0.2459 | 5.0 | 3210 | 0.2328 | 0.3848 |
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| 0.2452 | 6.0 | 3852 | 0.2215 | 0.3848 |
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| 0.2522 | 7.0 | 4494 | 0.2444 | 0.3848 |
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| 0.2505 | 8.0 | 5136 | 0.2164 | 0.3504 |
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| 0.2087 | 9.0 | 5778 | 0.2409 | 0.3152 |
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| 0.1736 | 10.0 | 6420 | 0.1983 | 0.2961 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.18.0
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- Tokenizers 0.13.3
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