distilbert-base-uncased-distilled-clinc – AI Model by srmjfba | AlphaNeural AI | AlphaNeural AI

You can deploy this model and start earning money today!

srmjfba/
distilbert-base-uncased-distilled-clinc

like

0

text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

text-embeddings-inference

endpoints_compatible

Views

No views yet

distilbert-base-uncased-distilled-clinc

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2784
Accuracy: 0.9439

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: 48
eval_batch_size: 48
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 9

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.2676	1.0	318	1.6183	0.7313
1.2618	2.0	636	0.8348	0.8623
0.6798	3.0	954	0.4896	0.9161
0.4213	4.0	1272	0.3648	0.9310
0.3106	5.0	1590	0.3145	0.9394
0.263	6.0	1908	0.2950	0.9406
0.2407	7.0	2226	0.2852	0.9426
0.2291	8.0	2544	0.2812	0.9432
0.2238	9.0	2862	0.2784	0.9439

Framework versions

Transformers 4.57.6
Pytorch 2.7.1+cu118
Datasets 4.5.0
Tokenizers 0.22.2