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README.md
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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 the dataset [Sp1786/multiclass-sentiment-analysis-dataset] (https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset).
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## Metrics and results:
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It achieves the following results on the evaluation set:
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- learning_rate: 2e-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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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 8
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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 the dataset [Sp1786/multiclass-sentiment-analysis-dataset] (https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset).
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The text classification task in this model is based on 3 sentiment labels.
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## Metrics and results:
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It achieves the following results on the evaluation set:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 8
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