vmehlin_distilbert-finetuned-squad
This model is a fine-tuned version of distilbert-base-uncased on the squad 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
co2_eq_emissions:
- emissions: 49.49 g
- source: eco2AI
- training_time: 00:31:54
- geographical_location: Bavaria, Germany
- hardware_used: Intel(R) Xeon(R) Gold 5215 CPUs (2devices) & NVIDIA A40 (1 device)
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