abdelrahmanelsheikh39 commited on
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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: cardiffnlp/twitter-roberta-base-sentiment
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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: SentimentAnalysisAtDEPI2
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+ results: []
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+ ---
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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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+
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+ # SentimentAnalysisAtDEPI2
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+
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+ This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4876
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+ - Accuracy: 0.8480
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 32
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.5493 | 1.0 | 14212 | 0.5040 | 0.8133 |
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+ | 0.38 | 2.0 | 28424 | 0.4682 | 0.8371 |
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+ | 0.3531 | 3.0 | 42636 | 0.4678 | 0.8433 |
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+ | 0.3067 | 4.0 | 56848 | 0.4876 | 0.8480 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.1
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+ - Pytorch 2.4.0
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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