Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
roberta-base-sst2 – AI Model by JeremiahZ | AlphaNeural AI
You can deploy this model and start earning money today!
JeremiahZ
/
roberta-base-sst2
like
0
transformers
pytorch
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
en
glue
FacebookAI/roberta-base
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
roberta-base-sst2
This model is a fine-tuned version of
roberta-base
on the GLUE SST2 dataset. It achieves the following results on the evaluation set:
Loss: 0.2314
Accuracy: 0.9358
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.06
num_epochs: 10.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2287
1.0
4210
0.2314
0.9358
0.1959
2.0
8420
0.3027
0.9266
0.1635
3.0
12630
0.3022
0.9300
0.1148
4.0
16840
0.3162
0.9289
Framework versions
Transformers 4.20.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1
