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diegopetrola/
mDeBERTa-mnli-kaggle-contradictory-my-dear-watson

Name: mDeBERTa-mnli-kaggle-contradictory-my-dear-watson
Availability: InStock

generated_from_trainer

mit

autotrain_compatible

endpoints_compatible

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mDeBERTa-mnli-kaggle-contradictory-my-dear-watson

This model is a fine-tuned version of MoritzLaurer/mDeBERTa-v3-base-mnli-xnli on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3225
Accuracy: 0.8890

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: 1e-06
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4778	1.0	606	0.3361	0.8899
0.3766	2.0	1212	0.3217	0.8899
0.344	3.0	1818	0.3218	0.8903
0.3349	4.0	2424	0.3222	0.8894
0.3263	5.0	3030	0.3225	0.8890

Framework versions

Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

diegopetrola/mDeBERTa-mnli-kaggle-contradictory-my-dear-watson

mDeBERTa-mnli-kaggle-contradictory-my-dear-watson

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

diegopetrola/
mDeBERTa-mnli-kaggle-contradictory-my-dear-watson