distilbert-base-uncased-issues-128 – AI Model by kkt4828 | AlphaNeural AI

You can deploy this model and start earning money today!

kkt4828/
distilbert-base-uncased-issues-128

like

0

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

distilbert-base-uncased-issues-128

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: 1.2728

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: 5e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss
2.2526	1.0	292	1.8647
1.7421	2.0	584	1.6379
1.5862	3.0	876	1.5838
1.5041	4.0	1168	1.5427
1.4371	5.0	1460	1.4806
1.3826	6.0	1752	1.3648
1.3487	7.0	2044	1.4458
1.3292	8.0	2336	1.3345
1.2779	9.0	2628	1.3367
1.2599	10.0	2920	1.3373
1.2454	11.0	3212	1.3694
1.2239	12.0	3504	1.2550
1.2057	13.0	3796	1.3154
1.1792	14.0	4088	1.2952
1.1838	15.0	4380	1.3406
1.1739	16.0	4672	1.2728

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.1