metadata

license: apache-2.0
base_model: albert/albert-base-v2
tags:
  - generated_from_trainer
datasets:
  - squad_v2
model-index:
  - name: Base_Albert
    results: []

Base_Albert

This model is a fine-tuned version of albert/albert-base-v2 on the squad_v2 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: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2.0

Training results

Framework versions

Transformers 4.45.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1