metadata

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

MRC_ER_mdeberta-v3-base_syl_DSC

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: 2.1310
Exact Match: 0.4978
F1: 0.6128

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: 8
eval_batch_size: 8
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
0.7262	1.0	3182	1.2386	0.4634	0.5997
0.5564	2.0	6364	1.3796	0.4868	0.6083
0.4338	3.0	9546	1.5470	0.4864	0.6109
0.3148	4.0	12728	1.8582	0.5041	0.6141
0.2554	5.0	15910	2.1310	0.4978	0.6128

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1