distilbert-base-uncased-finetuned-nlp-letters-full_text-pronouns-class-weighted
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1200
- F1: 0.7919
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 | 165 | 0.5745 | 0.2289 |
No log | 2.0 | 330 | 0.5724 | 0.2289 |
No log | 3.0 | 495 | 0.4547 | 0.2289 |
0.5789 | 4.0 | 660 | 0.4284 | 0.2289 |
0.5789 | 5.0 | 825 | 0.5019 | 0.7870 |
0.5789 | 6.0 | 990 | 0.5332 | 0.7728 |
0.3576 | 7.0 | 1155 | 0.6766 | 0.7660 |
0.3576 | 8.0 | 1320 | 0.9380 | 0.7796 |
0.3576 | 9.0 | 1485 | 1.1200 | 0.7919 |
0.1563 | 10.0 | 1650 | 1.1867 | 0.7835 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for ben-yu/distilbert-base-uncased-finetuned-nlp-letters-full_text-pronouns-class-weighted
Base model
distilbert/distilbert-base-uncased