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OTE-domianAdaption-DAPT-TAPT-ABSA-MARBERT2-HARD-SemEval-run3
This model is a fine-tuned version of salohnana2018/MARBERTV2-domianAdaption-OTE-ABSA-HARD-Semeval on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1319
- Precision: 0.7492
- Recall: 0.8213
- F1: 0.7836
- Accuracy: 0.9521
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: 32
- eval_batch_size: 8
- seed: 23
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.2049 | 1.0 | 121 | 0.1232 | 0.7685 | 0.7868 | 0.7775 | 0.9530 |
0.1002 | 2.0 | 242 | 0.1258 | 0.7376 | 0.8323 | 0.7821 | 0.9511 |
0.0747 | 3.0 | 363 | 0.1319 | 0.7492 | 0.8213 | 0.7836 | 0.9521 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3