End of training

README.md

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+---
+license: mit
+base_model: xlnet/xlnet-base-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: xlnet_base_all
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# xlnet_base_all
+
+This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xlnet-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4611
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.3162        | 1.0   | 1949  | 0.4187          |
+| 0.1553        | 2.0   | 3898  | 0.3679          |
+| 0.1649        | 3.0   | 5847  | 0.3724          |
+| 0.2501        | 4.0   | 7796  | 0.3303          |
+| 0.2847        | 5.0   | 9745  | 0.3959          |
+| 0.2092        | 6.0   | 11694 | 0.4093          |
+| 0.0744        | 7.0   | 13643 | 0.4144          |
+| 0.0403        | 8.0   | 15592 | 0.4852          |
+| 0.0003        | 9.0   | 17541 | 0.4603          |
+| 0.0002        | 10.0  | 19490 | 0.4611          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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