khilan-crest/twitter-roberta-base-sentiment-latest_16122024T143846
07
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twitter-roberta-base-sentiment-latest_16122024T143846
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:
- Loss: 1.0470
- F1: 0.6433
- Learning Rate: 0.0
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: 2e-05
- trainbatchsize: 8
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 2
- totaltrainbatch_size: 16
- optimizer: Use adamwhf with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_steps: 200
- num_epochs: 5
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.46.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.20.3
