Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: xlnet/xlnet-large-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: xlnet_xlnet-large-cased
+  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_xlnet-large-cased
+
+This model is a fine-tuned version of [xlnet/xlnet-large-cased](https://huggingface.co/xlnet/xlnet-large-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4041
+- Accuracy: 0.4479
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.419         | 1.0   | 283  | 1.4054          | 0.4479   |
+| 1.4137        | 2.0   | 566  | 1.3887          | 0.4479   |
+| 1.4122        | 3.0   | 849  | 1.3666          | 0.4479   |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu118
+- Datasets 3.4.0
+- Tokenizers 0.21.1

model.safetensors

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