deberta-v3-base_3epoch10
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:
- Loss: 2.2046
- Accuracy: 0.7680
- F1: 0.5136
- Precision: 0.6439
- Recall: 0.4271
- Precision Sarcastic: 0.6439
- Recall Sarcastic: 0.4271
- F1 Sarcastic: 0.5136
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: 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: 10
Training results
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for dianamihalache27/deberta-v3-base_3epoch10
Base model
microsoft/deberta-v3-base