anus-wanus-panus-ranus
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5332
- Accuracy: 0.5681
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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.4909 | 1.0 | 2714 | 1.4396 | 0.5659 |
1.2429 | 2.0 | 5428 | 1.3880 | 0.5767 |
1.0458 | 3.0 | 8142 | 1.4332 | 0.5694 |
0.9289 | 4.0 | 10856 | 1.4857 | 0.5679 |
0.7864 | 5.0 | 13570 | 1.5332 | 0.5681 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
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