distilbert-base-uncased__subj__train-8-5 – AI Model by SetFit | AlphaNeural AI

You can deploy this model and start earning money today!

SetFit/
distilbert-base-uncasedsubjtrain-8-5

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

distilbert-base-uncasedsubjtrain-8-5

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: 0.6927
Accuracy: 0.506

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7102	1.0	3	0.6790	0.75
0.6693	2.0	6	0.6831	0.75
0.6438	3.0	9	0.6876	0.75
0.6047	4.0	12	0.6970	0.75
0.547	5.0	15	0.7065	0.75
0.4885	6.0	18	0.7114	0.75
0.4601	7.0	21	0.7147	0.5
0.4017	8.0	24	0.7178	0.5
0.3474	9.0	27	0.7145	0.5
0.2624	10.0	30	0.7153	0.5
0.2175	11.0	33	0.7158	0.5

Framework versions

Transformers 4.15.0
Pytorch 1.10.2+cu102
Datasets 1.18.2
Tokenizers 0.10.3