<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
distilbert-base-uncased-Distilbert-Model
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7456
- F1: 0.7245
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|
| 0.8394 | 0.5 | 500 | 0.8400 | 0.6557 |
| 0.7944 | 1.0 | 1000 | 0.7827 | 0.6959 |
| 0.7253 | 1.5 | 1500 | 0.7619 | 0.6763 |
| 0.6838 | 2.01 | 2000 | 0.7456 | 0.7245 |
| 0.5503 | 2.51 | 2500 | 0.7754 | 0.7117 |
| 0.5517 | 3.01 | 3000 | 0.7592 | 0.7199 |
| 0.4178 | 3.51 | 3500 | 0.9776 | 0.7145 |
| 0.4225 | 4.01 | 4000 | 1.1820 | 0.7055 |
| 0.3327 | 4.51 | 4500 | 1.3212 | 0.7038 |
| 0.3292 | 5.02 | 5000 | 1.4429 | 0.7057 |
| 0.2563 | 5.52 | 5500 | 1.5018 | 0.7049 |
| 0.2555 | 6.02 | 6000 | 1.4722 | 0.7025 |
| 0.1745 | 6.52 | 6500 | 1.7254 | 0.7035 |
| 0.1813 | 7.02 | 7000 | 1.7894 | 0.6957 |
| 0.1473 | 7.52 | 7500 | 1.9552 | 0.6947 |
| 0.1381 | 8.02 | 8000 | 1.9619 | 0.7022 |
| 0.1003 | 8.53 | 8500 | 2.0648 | 0.6982 |
| 0.0916 | 9.03 | 9000 | 2.1473 | 0.6945 |
| 0.0779 | 9.53 | 9500 | 2.1930 | 0.6947 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
