Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
xlm-roberta-large-xnli-finetuned-mnli – AI Model by tuni | AlphaNeural AI
You can deploy this model and start earning money today!
tuni
/
xlm-roberta-large-xnli-finetuned-mnli
like
0
transformers
pytorch
tensorboard
xlm-roberta
text-classification
generated_from_trainer
glue
mit
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
xlm-roberta-large-xnli-finetuned-mnli
This model is a fine-tuned version of
joeddav/xlm-roberta-large-xnli
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 1.2542
Accuracy: 0.8549
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
Accuracy
0.7468
1.0
2250
0.8551
0.8348
0.567
2.0
4500
0.8935
0.8377
0.318
3.0
6750
0.9892
0.8492
0.1146
4.0
9000
1.2373
0.8446
0.0383
5.0
11250
1.2542
0.8549
Framework versions
Transformers 4.19.4
Pytorch 1.11.0+cu113
Datasets 2.3.0
Tokenizers 0.12.1
