my_awesome_qa_model
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
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: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 125 | 3.4993 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.0+cpu
- Datasets 2.17.1
- Tokenizers 0.15.1
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