all-roberta-large-v1-work-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: 4.4222
- Accuracy: 0.3467
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 |
|---|---|---|---|---|
| 5.0697 | 1.0 | 1 | 4.7805 | 0.2533 |
| 4.3663 | 2.0 | 2 | 4.5884 | 0.3422 |
| 3.8736 | 3.0 | 3 | 4.4222 | 0.3467 |
| 3.3926 | 4.0 | 4 | 4.3029 | 0.3422 |
| 3.0423 | 5.0 | 5 | 4.2419 | 0.3467 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
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