metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: sentense_pairs_cls
results: []
sentense_pairs_cls
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1556
- F1: 0.9862
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: 16
- eval_batch_size: 16
- 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 | F1 |
|---|---|---|---|---|
| No log | 1.0 | 304 | 0.1169 | 0.9892 |
| 0.1084 | 2.0 | 608 | 0.1117 | 0.9892 |
| 0.1084 | 3.0 | 912 | 0.1191 | 0.9892 |
| 0.0808 | 4.0 | 1216 | 0.1469 | 0.9892 |
| 0.0342 | 5.0 | 1520 | 0.1556 | 0.9862 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.13.1
- Tokenizers 0.13.3