AmiraliRezaie
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End of training
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README.md
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---
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base_model: cardiffnlp/twitter-roberta-base
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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: university_project
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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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# university_project
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base](https://huggingface.co/cardiffnlp/twitter-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8961
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- Accuracy: 0.8440
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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: 8
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- eval_batch_size: 8
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- seed: 0
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.5043 | 1.0 | 1135 | 0.4526 | 0.8219 |
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| 0.3772 | 2.0 | 2270 | 0.5948 | 0.8316 |
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| 0.2714 | 3.0 | 3405 | 0.6854 | 0.8409 |
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| 0.1757 | 4.0 | 4540 | 0.8270 | 0.8422 |
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| 0.0911 | 5.0 | 5675 | 0.8961 | 0.8440 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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