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lead-reliability-scoring
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0123
- F1: 0.9937
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 50 | 0.3866 | 0.5761 |
| No log | 2.0 | 100 | 0.3352 | 0.6538 |
| No log | 3.0 | 150 | 0.1786 | 0.8283 |
| No log | 4.0 | 200 | 0.1862 | 0.8345 |
| No log | 5.0 | 250 | 0.1367 | 0.8736 |
| No log | 6.0 | 300 | 0.0642 | 0.9477 |
| No log | 7.0 | 350 | 0.0343 | 0.9748 |
| No log | 8.0 | 400 | 0.0190 | 0.9874 |
| No log | 9.0 | 450 | 0.0123 | 0.9937 |
| 0.2051 | 10.0 | 500 | 0.0058 | 0.9937 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
