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taskB-bertweet-base-trainer-1.0.0

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README.md CHANGED
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- library_name: transformers
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- # Model Card for Model ID
 
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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  ---
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+ base_model: vinai/bertweet-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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+ - f1
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+ model-index:
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+ - name: taskB-bertweet-base-trainer-1.0.0
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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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+ # taskB-bertweet-base-trainer-1.0.0
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+ This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3560
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+ - Accuracy: 0.4866
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+ - F1: 0.6128
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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: 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: 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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+ | 0.1098 | 1.0 | 601 | 0.4063 | 0.1169 | 0.2635 |
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+ | 0.0809 | 2.0 | 1202 | 0.3560 | 0.4866 | 0.6128 |
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+ | 0.0466 | 3.0 | 1803 | 0.4027 | 0.5690 | 0.6781 |
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+ | 0.0138 | 4.0 | 2404 | 0.4308 | 0.6073 | 0.6979 |
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+ | 0.0122 | 5.0 | 3005 | 0.4105 | 0.6322 | 0.7233 |
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+ ### Framework versions
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+ - Transformers 4.41.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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