Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
distilbert-base-uncased-finetuned-moral-ctx-action-conseq – AI Model by agi-css | AlphaNeural AI
You can deploy this model and start earning money today!
agi-css
/
distilbert-base-uncased-finetuned-moral-ctx-action-conseq
like
0
transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
distilbert-base-uncased-finetuned-moral-ctx-action-conseq
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1111
Accuracy: 0.9676
F1: 0.9676
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: 9.989502318502869e-05
train_batch_size: 2000
eval_batch_size: 2000
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
F1
No log
1.0
10
0.1569
0.9472
0.9472
No log
2.0
20
0.1171
0.9636
0.9636
No log
3.0
30
0.1164
0.9664
0.9664
No log
4.0
40
0.1117
0.9672
0.9672
No log
5.0
50
0.1111
0.9676
0.9676
Framework versions
Transformers 4.17.0.dev0
Pytorch 1.10.1
Datasets 2.0.0
Tokenizers 0.11.0
