sentiment-analysis-whatsapp2
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1871
- eval_accuracy: {'accuracy': 0.9445}
- eval_f1_macro: 0.9442
- eval_runtime: 4.3692
- eval_samples_per_second: 457.751
- eval_steps_per_second: 7.324
- epoch: 2.0
- step: 500
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for aliciiavs/sentiment-analysis-whatsapp2
Base model
microsoft/deberta-v3-base