metadata

license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: roberta-base-squad2-finetuned-DouRC_squad
    results: []

roberta-base-squad2-finetuned-DouRC_squad

This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3122
Exact Match: 0.665
F1: 0.5188

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: 56
eval_batch_size: 56
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match	F1
1.0639	1.0	536	1.1383	0.69	0.5419
0.8267	2.0	1072	1.1227	0.685	0.5475
0.683	3.0	1608	1.1890	0.685	0.5436
0.5774	4.0	2144	1.2262	0.695	0.5595
0.4885	5.0	2680	1.3122	0.665	0.5188

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1