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ColD-Fusion-finetuned-persuasiveness-redditCMV
This model is a fine-tuned version of ibm/ColD-Fusion on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7958
- Accuracy: 0.5963
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 |
---|---|---|---|---|
0.7014 | 1.0 | 516 | 0.6910 | 0.5332 |
0.6651 | 2.0 | 1032 | 0.6739 | 0.5919 |
0.5308 | 3.0 | 1548 | 0.7958 | 0.5963 |
0.3602 | 4.0 | 2064 | 1.0473 | 0.5847 |
0.2315 | 5.0 | 2580 | 1.3587 | 0.5827 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2