dianamihalache27
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End of training
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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- F1: 0.
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- Precision: 0.
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- Recall: 0.
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- Precision Sarcastic: 0.
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- Recall Sarcastic: 0.
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- F1 Sarcastic: 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: 16
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- eval_batch_size: 16
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- seed: 42
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1
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| No log | 1.0 | 174 | 0.
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| No log | 2.0 | 348 | 0.
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| 0.
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### Framework versions
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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: 0.5247
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- Accuracy: 0.7565
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- F1: 0.3424
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- Precision: 0.7586
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- Recall: 0.2211
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- Precision Sarcastic: 0.7586
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- Recall Sarcastic: 0.2211
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- F1 Sarcastic: 0.3424
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Precision Sarcastic | Recall Sarcastic | F1 Sarcastic |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------------------:|:----------------:|:------------:|
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| No log | 1.0 | 174 | 0.6037 | 0.7133 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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| No log | 2.0 | 348 | 0.6196 | 0.7133 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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| 0.5432 | 3.0 | 522 | 0.5247 | 0.7565 | 0.3424 | 0.7586 | 0.2211 | 0.7586 | 0.2211 | 0.3424 |
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### Framework versions
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model.safetensors
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