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LKD_Experience_CV5
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: 0.1901
- Accuracy: 0.9328
- F1: 0.9306
- Precision: 0.9335
- Recall: 0.9283
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 4
- 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 | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 48 | 0.5064 | 0.6555 | 0.5380 | 0.8136 | 0.59 |
| No log | 2.0 | 96 | 0.3327 | 0.9160 | 0.9114 | 0.9297 | 0.9028 |
| No log | 3.0 | 144 | 0.2398 | 0.9244 | 0.9212 | 0.9305 | 0.9155 |
| No log | 4.0 | 192 | 0.1995 | 0.9328 | 0.9306 | 0.9335 | 0.9283 |
| No log | 5.0 | 240 | 0.1901 | 0.9328 | 0.9306 | 0.9335 | 0.9283 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
