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Training Completed
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README.md
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---
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library_name: transformers
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license: mit
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base_model: facebook/bart-large-mnli
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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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model-index:
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- name: joker-bert-classification-all-tags-model-new-structure-v1
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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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# joker-bert-classification-all-tags-model-new-structure-v1
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This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0149
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- Accuracy: 0.7761
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- F1: 0.7722
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 64
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 1.3161 | 1.0 | 1187 | 1.1416 | 0.6738 | 0.6721 |
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| 0.6894 | 2.0 | 2374 | 1.0403 | 0.7113 | 0.7040 |
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| 0.3205 | 3.0 | 3561 | 0.9430 | 0.7526 | 0.7487 |
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| 0.1655 | 4.0 | 4748 | 0.9927 | 0.7725 | 0.7676 |
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| 0.0791 | 5.0 | 5935 | 1.0149 | 0.7761 | 0.7722 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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runs/Aug23_06-56-25_511589c6002e/events.out.tfevents.1724396223.511589c6002e.413.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:6824ac54df7cb942684b231c96a8b0b3f2ee9477804cd86d0d826ccef9818d00
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size 10768
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