microsoft-mpnet-base
This model is a fine-tuned version of microsoft/mpnet-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3863
- Accuracy: 0.2666
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: 64
- eval_batch_size: 64
- seed: 42
- 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 | Accuracy |
|---|---|---|---|---|
| 1.3866 | 1.0 | 2857 | 1.3863 | 0.2508 |
| 1.3866 | 2.0 | 5714 | 1.3863 | 0.2582 |
| 1.3865 | 3.0 | 8571 | 1.3863 | 0.2666 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.0
- Downloads last month
- 9
Inference API (serverless) does not yet support transformers models for this pipeline type.
Model tree for daze-unlv/microsoft-mpnet-base
Base model
microsoft/mpnet-base