metadata

license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
  - generated_from_trainer
model-index:
  - name: roberta-finetuned-squadcovid
    results: []

roberta-finetuned-squadcovid

This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.9162
eval_runtime: 146.4405
eval_samples_per_second: 73.682
eval_steps_per_second: 2.308
epoch: 1.27
step: 6000

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2