This model is a fine-tuned version of LiYuan/amazon-review-sentiment-analysis on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8763
Accuracy: 0.6324
F1: 0.6303

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
lr_scheduler_warmup_steps: 200
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.9292	1.0	625	0.8799	0.6132	0.6181
0.7542	2.0	1250	0.8763	0.6324	0.6303

Framework versions

Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

harmanpreet-kaur/yelp-review-sentiment-analysis-1

yelp-review-sentiment-analysis-1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

harmanpreet-kaur/
yelp-review-sentiment-analysis-1