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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: xlnet-base-cased-tweets |
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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-base-cased-tweets |
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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: 0.2094 |
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- Accuracy: 0.9236 |
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- F1: 0.9553 |
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- Precision: 0.9531 |
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- Recall: 0.9575 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.2551 | 1.0 | 642 | 0.2172 | 0.9037 | 0.9443 | 0.9311 | 0.9579 | |
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| 0.1981 | 2.0 | 1284 | 0.2366 | 0.9135 | 0.9500 | 0.9349 | 0.9657 | |
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| 0.1513 | 3.0 | 1926 | 0.2094 | 0.9236 | 0.9553 | 0.9531 | 0.9575 | |
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### Framework versions |
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- Transformers 4.43.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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