Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
finetuning-emotion-model-5-v3 – AI Model by Almancy | AlphaNeural AI
You can deploy this model and start earning money today!
Almancy
/
finetuning-emotion-model-5-v3
like
0
transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
finetuning-emotion-model-5-v3
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9127
Accuracy: 0.6077
F1: 0.6056
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: 0.0002
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.949
1.0
2500
0.9358
0.5976
0.5977
0.8216
2.0
5000
0.9127
0.6077
0.6056
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
