update model card README.md
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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: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.0+cu111
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- Datasets 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: 0.0468
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## Model description
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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: 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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- lr_scheduler_warmup_steps: 500
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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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| 0.0426 | 1.0 | 5882 | 0.0342 |
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| 0.0276 | 2.0 | 11764 | 0.0240 |
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| 0.0566 | 3.0 | 17646 | 0.0591 |
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| 0.0448 | 4.0 | 23528 | 0.0468 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.0
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- Tokenizers 0.10.3
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