End of training
Browse files- README.md +69 -0
- pytorch_model.bin +1 -1
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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metrics:
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- accuracy
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model-index:
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- name: XLNet-Reddit-Sentiment-Analysis-16-epochs
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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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# XLNet-Reddit-Sentiment-Analysis-16-epochs
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7667
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- Rmse: 0.6675
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- Accuracy: 0.8427
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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: 3e-05
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- train_batch_size: 8
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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: 9
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rmse | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|
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| 0.8682 | 1.0 | 3790 | 0.7667 | 0.6675 | 0.8427 |
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| 0.736 | 2.0 | 7580 | 0.7681 | 0.6234 | 0.8585 |
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| 0.7613 | 3.0 | 11370 | 0.8174 | 0.6668 | 0.8405 |
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| 0.9229 | 4.0 | 15160 | 1.2618 | 0.8202 | 0.6568 |
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| 1.0546 | 5.0 | 18950 | 1.2372 | 0.7880 | 0.7592 |
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| 0.9142 | 6.0 | 22740 | 0.9488 | 0.7339 | 0.8163 |
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| 0.8341 | 7.0 | 26530 | 0.8846 | 0.7230 | 0.8194 |
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| 0.8028 | 8.0 | 30320 | 0.8510 | 0.7030 | 0.8289 |
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| 0.7784 | 9.0 | 34110 | 0.8805 | 0.7060 | 0.8279 |
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### Framework versions
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- Transformers 4.35.0.dev0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 469314837
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version https://git-lfs.github.com/spec/v1
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size 469314837
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