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ColD-Fusion-bert-base-uncased-itr23-seed0-finetuned-convincingness-IBM
This model is a fine-tuned version of ibm/ColD-Fusion-bert-base-uncased-itr23-seed0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0132
- Accuracy: 0.7417
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
- 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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 270 | 0.5642 | 0.7104 |
0.5032 | 2.0 | 540 | 0.5624 | 0.7279 |
0.5032 | 3.0 | 810 | 0.6700 | 0.7344 |
0.2247 | 4.0 | 1080 | 0.9194 | 0.7373 |
0.2247 | 5.0 | 1350 | 1.0132 | 0.7417 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2