TrainingArg

PiotrNaspinski/TrainingArg

TrainingArg is a text classification model from PiotrNaspinski. Use it when you need a label for a piece of text. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
License: apache-2.0
Model type: distilbert
Access: Public
Created: Aug 6, 2024
Updated: Aug 6, 2024
SHA: a0ab697d

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Base models

distilbert/distilbert-base-uncased

Model card

From the Hugging Face model README

TrainingArg

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

Loss: 1.9255
Accuracy: 0.6636

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: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	74	1.2499	0.4864
No log	2.0	148	1.1182	0.6227
No log	3.0	222	1.2290	0.5409
No log	4.0	296	1.1244	0.6273
No log	5.0	370	1.2734	0.6545
No log	6.0	444	1.6389	0.6045
0.6739	7.0	518	1.5203	0.6636
0.6739	8.0	592	1.8517	0.6227
0.6739	9.0	666	1.8682	0.6591
0.6739	10.0	740	1.9589	0.6364
0.6739	11.0	814	1.9143	0.6545
0.6739	12.0	888	1.9255	0.6636

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Type: distilbert
License: apache-2.0
Created: Aug 6, 2024
Updated: Aug 6, 2024