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pintu5057/
text_classification_model

Name: text_classification_model
Rating: 2.5 (6 reviews)

safetensors

distilbert

generated_from_trainer

distilbert/distilbert-base-uncased

finetune

apache-2.0

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text_classification_model

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: 0.2373
Accuracy: 0.9311

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2254	1.0	1563	0.2348	0.9141
0.1494	2.0	3126	0.2373	0.9311

Framework versions

Transformers 4.35.2
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.15.0

pintu5057/text_classification_model

text_classification_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pintu5057/
text_classification_model