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all-roberta-large-v1-small_talk-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: 4.3641
- Accuracy: 0.3449
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 |
|---|---|---|---|---|
| 5.1304 | 1.0 | 1 | 4.8296 | 0.0986 |
| 4.6075 | 2.0 | 2 | 4.6635 | 0.2841 |
| 4.1114 | 3.0 | 3 | 4.5241 | 0.3391 |
| 3.6699 | 4.0 | 4 | 4.4194 | 0.3420 |
| 3.4101 | 5.0 | 5 | 4.3641 | 0.3449 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
