Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
albert-large-v2-finetuned-rte – AI Model by anirudh21 | AlphaNeural AI
You can deploy this model and start earning money today!
anirudh21
/
albert-large-v2-finetuned-rte
like
0
transformers
pytorch
tensorboard
albert
text-classification
generated_from_trainer
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
albert-large-v2-finetuned-rte
This model is a fine-tuned version of
albert-large-v2
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.6827
Accuracy: 0.5487
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: 16
eval_batch_size: 16
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
No log
1.0
18
0.6954
0.5271
No log
2.0
36
0.6860
0.5379
No log
3.0
54
0.6827
0.5487
No log
4.0
72
0.7179
0.5235
No log
5.0
90
0.7504
0.5379
Framework versions
Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.18.1
Tokenizers 0.10.3
