pretrained_bert_scratch-finetuned-squad
This model is a fine-tuned version of ayushmodi12/pretrained_bert_scratch on the squad_v2 dataset. It achieves the following results on the evaluation set:
- eval_loss: 5.9506
- eval_runtime: 267.5806
- eval_samples_per_second: 45.347
- eval_steps_per_second: 2.837
- epoch: 1.0
- step: 8235
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: 2
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for eragon0206/pretrained_bert_scratch-finetuned-squad
Base model
google-bert/bert-base-uncased Finetuned
ayushmodi12/pretrained_bert_scratch