Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
Training_Checkpoint – AI Model by LalasaMynalli | AlphaNeural AI
You can deploy this model and start earning money today!
LalasaMynalli
/
Training_Checkpoint
like
0
tensorboard
safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
Training_Checkpoint
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: 0.1068
Accuracy: 0.971
F1: 0.9787
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
F1
No log
1.0
63
0.3497
0.869
0.9042
No log
2.0
126
0.2406
0.918
0.9418
No log
3.0
189
0.1529
0.954
0.9665
No log
4.0
252
0.1176
0.966
0.9751
No log
5.0
315
0.1068
0.971
0.9787
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
