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asm3515/
distillbert-SST2-rating-full

Name: distillbert-SST2-rating-full
Availability: InStock

generated_from_trainer

distilbert/distilbert-base-uncased

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distillbert-yelp-rating-full

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: 0.3879
Accuracy: 0.9117
F1: 0.9155
Precision: 0.8929
Recall: 0.9392

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: 16
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1167	1.0	4210	0.2910	0.9002	0.9010	0.9103	0.8919
0.0852	2.0	8420	0.3781	0.8865	0.8937	0.8542	0.9369
0.1275	3.0	12630	0.3879	0.9117	0.9155	0.8929	0.9392

Framework versions

Transformers 4.45.2
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1

asm3515/distillbert-SST2-rating-full

distillbert-yelp-rating-full

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

asm3515/
distillbert-SST2-rating-full