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README.md
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This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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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:
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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- Transformers 4.12.3
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- Pytorch 1.
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- Datasets 1.15.1
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- Tokenizers 0.10.3
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This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0334
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## Model description
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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: 32
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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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.6741 | 1.0 | 505 | 2.2096 |
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| 2.3183 | 2.0 | 1010 | 2.0934 |
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| 2.2089 | 3.0 | 1515 | 2.0595 |
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| 2.1473 | 4.0 | 2020 | 2.0246 |
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### Framework versions
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- Transformers 4.12.3
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- Pytorch 1.10.0+cu111
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- Datasets 1.15.1
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- Tokenizers 0.10.3
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