Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
Q2-PHQ – AI Model by ishwarbb23 | AlphaNeural AI
You can deploy this model and start earning money today!
ishwarbb23
/
Q2-PHQ
like
0
transformers
pytorch
tensorboard
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
Q2-PHQ
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: 0.5669
Accuracy: 0.82
Mcc: 0.3059
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
Mcc
No log
1.0
51
0.4262
0.84
0.2085
No log
2.0
102
0.4447
0.815
0.3286
No log
3.0
153
0.4965
0.81
0.2935
No log
4.0
204
0.5477
0.82
0.2335
No log
5.0
255
0.5669
0.82
0.3059
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
