my_awesome_model
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2227
- Quadratic Weighted Kappa: 0.8432
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Quadratic Weighted Kappa |
|---|---|---|---|---|
| No log | 1.0 | 21 | 1.4531 | 0.7630 |
| No log | 2.0 | 42 | 1.4259 | 0.7622 |
| No log | 3.0 | 63 | 1.2936 | 0.8170 |
| No log | 4.0 | 84 | 1.2508 | 0.8353 |
| No log | 5.0 | 105 | 1.2348 | 0.8469 |
| No log | 6.0 | 126 | 1.2241 | 0.8444 |
| No log | 7.0 | 147 | 1.2227 | 0.8432 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for Ostgot/my_awesome_model
Base model
distilbert/distilbert-base-uncased