whispQuote-ChunkedDQ – AI Model by lucafrost | AlphaNeural AI

You can deploy this model and start earning money today!

lucafrost/
whispQuote-ChunkedDQ

like

0

token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

whispQuote-ChunkedDQ

This model is a fine-tuned version of distilbert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2317
Precision: 0.6456
Recall: 0.8030
F1: 0.7157
Accuracy: 0.9241

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	Precision	Recall	F1	Accuracy
No log	1.0	162	0.3050	0.5572	0.6886	0.6159	0.8903
No log	2.0	324	0.2382	0.6363	0.7659	0.6951	0.9187
No log	3.0	486	0.2350	0.6420	0.7927	0.7094	0.9220
0.3239	4.0	648	0.2303	0.6486	0.8012	0.7169	0.9228
0.3239	5.0	810	0.2317	0.6456	0.8030	0.7157	0.9241

Framework versions

Transformers 4.26.0
Pytorch 1.10.2+cu113
Datasets 2.9.0
Tokenizers 0.13.2