End of training

README.md

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+---
+license: mit
+base_model: xlnet-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: XLNet-Reddit-Sentiment-Analysis
+  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-Reddit-Sentiment-Analysis
+
+This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6345
+- Rmse: 0.7328
+- Accuracy: 0.733
+
+## 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: 3e-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
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rmse   | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|
+| 0.7863        | 1.0   | 1000  | 0.6960          | 0.7436 | 0.732    |
+| 0.679         | 2.0   | 2000  | 0.6345          | 0.7328 | 0.733    |
+| 0.5893        | 3.0   | 3000  | 0.7480          | 0.7050 | 0.731    |
+| 0.4862        | 4.0   | 4000  | 0.7551          | 0.6856 | 0.749    |
+| 0.4068        | 5.0   | 5000  | 0.8476          | 0.6419 | 0.75     |
+| 0.3396        | 6.0   | 6000  | 1.1664          | 0.6557 | 0.747    |
+| 0.2717        | 7.0   | 7000  | 1.2858          | 0.6580 | 0.738    |
+| 0.2173        | 8.0   | 8000  | 1.4618          | 0.6738 | 0.732    |
+| 0.1828        | 9.0   | 9000  | 1.5711          | 0.6686 | 0.739    |
+| 0.1587        | 10.0  | 10000 | 1.6188          | 0.6633 | 0.737    |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.14.1

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