metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
base_model: bert-base-uncased
model-index:
  - name: bert-base-uncased-few-shot-k-128-finetuned-squad-seed-0
    results: []

bert-base-uncased-few-shot-k-128-finetuned-squad-seed-0

This model is a fine-tuned version of bert-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: 3e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 200

Training results

Framework versions

Transformers 4.16.0.dev0
Pytorch 1.10.2+cu102
Datasets 1.17.0
Tokenizers 0.10.3