rdp99/roberta-base-sst2-finetuned-emotion
08
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roberta-base-sst2-finetuned-emotion
This model is a fine-tuned version of WillHeld/roberta-base-sst2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2058
- Accuracy: 0.9381
- F1: 0.9381
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: 64
- evalbatchsize: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- num_epochs: 2
Training results
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2