finetuning-sentiment-model-news-2
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5041
- eval_model_preparation_time: 0.0045
- eval_accuracy: 0.8886
- eval_precision: 0.8943
- eval_recall: 0.8886
- eval_f1: 0.8902
- eval_runtime: 7.1419
- eval_samples_per_second: 334.365
- eval_steps_per_second: 21.003
- step: 0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.44.1
- Pytorch 2.4.1
- Datasets 2.19.1
- Tokenizers 0.19.1
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