Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
test-model_ROBERTA – AI Model by Orseer | AlphaNeural AI
You can deploy this model and start earning money today!
Orseer
/
test-model_ROBERTA
like
0
transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
test-model_ROBERTA
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2733
Rmse: 0.3427
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 16
Training results
Training Loss
Epoch
Step
Validation Loss
Rmse
0.6755
2.72
500
0.4136
0.5126
0.1909
5.43
1000
0.2733
0.3427
0.0784
8.15
1500
0.3173
0.3244
0.0382
10.86
2000
0.3523
0.3039
0.0213
13.58
2500
0.3947
0.2866
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.2
Tokenizers 0.13.3
