metadata

license: mit
base_model: microsoft/mdeberta-v3-base
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: MRC_ER_mdeberta-v3-base_syl_ViWikiFC
    results: []

MRC_ER_mdeberta-v3-base_syl_ViWikiFC

This model is a fine-tuned version of microsoft/mdeberta-v3-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.5168
Exact Match: 0.7703
F1: 0.7925

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match	F1
0.6752	1.0	4185	2.1250	0.7421	0.7696
0.5728	2.0	8370	1.9436	0.7660	0.7865
0.4473	3.0	12555	2.1698	0.7569	0.7796
0.3166	4.0	16740	2.3835	0.7708	0.7945
0.2525	5.0	20925	2.5168	0.7703	0.7925

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2