bert_interview_duplicated
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: 1.6667
- Accuracy: 0.4523
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|---|
| 2.2802 | 1.0 | 2121 | 2.0371 | 0.3804 |
| 2.0794 | 2.0 | 4242 | 1.8813 | 0.4158 |
| 1.9467 | 3.0 | 6363 | 1.7781 | 0.4311 |
| 1.8672 | 4.0 | 8484 | 1.7044 | 0.4429 |
| 1.7766 | 5.0 | 10605 | 1.6667 | 0.4523 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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Model tree for eskayML/bert_interview_duplicated
Base model
distilbert/distilbert-base-uncased