You can deploy this model and start earning money today!

thainq107/
absa-restaurants-distilbert-base-uncased

generated_from_trainer

distilbert/distilbert-base-uncased

Views

No views yet

absa-restaurants-distilbert-base-uncased

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: 0.5845
Accuracy: 0.7918

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: Use OptimizerNames.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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	226	0.7111	0.7337
No log	2.0	452	0.6517	0.7444
0.6945	3.0	678	0.6291	0.7605
0.6945	4.0	904	0.5985	0.7837
0.4252	5.0	1130	0.5845	0.7918

Framework versions

Transformers 4.48.2
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

thainq107/absa-restaurants-distilbert-base-uncased

absa-restaurants-distilbert-base-uncased

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

thainq107/
absa-restaurants-distilbert-base-uncased