metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: BERT_Mod_7_Squad
results: []
BERT_Mod_7_Squad
This model is a fine-tuned version of bert-base-uncased on the squad_v2 dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.1605
- eval_runtime: 71.6663
- eval_samples_per_second: 169.312
- eval_steps_per_second: 10.591
- epoch: 2.0
- step: 16470
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: 0.002
- 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: 3
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 1.17.0
- Tokenizers 0.12.1