distilbert-base-uncased

bisoye/distilbert-base-uncased

distilbert-base-uncased is a machine learning model from bisoye. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

should probably proofread and complete it, then remove this comment. --

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At a glance

Model type: distilbert
Access: Public
Created: Oct 12, 2024
Updated: Oct 12, 2024
SHA: f0e7200b

Model card

From the Hugging Face model README

distilbert-base-uncased

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3188
Accuracy: 0.9224

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 1010
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.104	1.0	2370	0.1172	0.9724
0.143	2.0	4740	0.1707	0.9608
0.2895	3.0	7110	0.3216	0.9224
0.3122	4.0	9480	0.3178	0.9224
0.3177	5.0	11850	0.3223	0.9224
0.318	6.0	14220	0.3182	0.9224
0.3174	7.0	16590	0.3194	0.9224
0.317	8.0	18960	0.3183	0.9224
0.3176	9.0	21330	0.3179	0.9224
0.3178	10.0	23700	0.3188	0.9224

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: distilbert
Created: Oct 12, 2024
Updated: Oct 12, 2024