sbert_imdb
This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2169
- Accuracy: 0.9532
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|
| 0.1719 | 0.9997 | 1562 | 0.1483 | 0.9469 |
| 0.1195 | 2.0 | 3125 | 0.1756 | 0.9521 |
| 0.0765 | 2.9997 | 4687 | 0.2224 | 0.9468 |
| 0.0421 | 4.0 | 6250 | 0.2169 | 0.9532 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Siki-77/sbert_imdb
Base model
sentence-transformers/all-mpnet-base-v2