<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
thesis-freeform-yesno
This model is a fine-tuned version of maretamasaeva/thesis-freeform on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4547
- Accuracy: 0.0194
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
2.5001 | 1.0 | 9052 | 2.4600 | 0.0194 |
2.4921 | 2.0 | 18104 | 2.4595 | 0.0194 |
2.4879 | 3.0 | 27156 | 2.4576 | 0.0194 |
2.4793 | 4.0 | 36208 | 2.4547 | 0.0194 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1