albert-base-v2-finetuned-squad

This model is a fine-tuned version of albert-base-v2 on the squad dataset. It achieves the following results on the evaluation set:

• Loss: 0.9901

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.8584	1.0	5540	0.9056
0.6473	2.0	11080	0.8975
0.4801	3.0	16620	0.9901

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.1
• Datasets 1.17.0
• Tokenizers 0.10.3