topicfit-all-mpnet-base-v2-sentence-label-diff_prod-epoch-8
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 0.0073 | 1.0 | 4880 | 0.0028 |
| 0.0027 | 2.0 | 9760 | 0.0007 |
| 0.0016 | 3.0 | 14640 | 0.0002 |
| 0.0 | 4.0 | 19520 | 0.0000 |
| 0.0 | 5.0 | 24400 | 0.0000 |
| 0.0 | 6.0 | 29280 | 0.0000 |
| 0.0 | 7.0 | 34160 | 0.0000 |
| 0.0 | 8.0 | 39040 | 0.0000 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
