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all-roberta-large-v1-home-1000-16-5-oos
This model is a fine-tuned version of sentence-transformers/all-roberta-large-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3075
- Accuracy: 0.3022
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: 48
- eval_batch_size: 48
- 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 |
|---|---|---|---|---|
| 5.0829 | 1.0 | 1 | 4.7909 | 0.1467 |
| 4.4304 | 2.0 | 2 | 4.6082 | 0.2644 |
| 4.0728 | 3.0 | 3 | 4.4645 | 0.2933 |
| 3.525 | 4.0 | 4 | 4.3617 | 0.2956 |
| 3.3931 | 5.0 | 5 | 4.3075 | 0.3022 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
