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: 0.8358
Accuracy: 0.76

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
1.0138	0.1	500	1.0133
0.9798	0.2	1000	0.9427
0.9808	0.3	1500	0.9525
0.927	0.4	2000	0.9319
0.9201	0.5	2500	0.9614
0.933	0.6	3000	0.9032
0.911	0.7	3500	0.8853
0.8831	0.8	4000	0.8803
0.8778	0.9	4500	0.8814
0.8954	1.0	5000	0.8509
0.7525	1.1	5500	0.8722
0.7518	1.2	6000	0.8817
0.7552	1.3	6500	0.8613
0.7508	1.4	7000	0.8773
0.7389	1.5	7500	0.8524
0.7233	1.6	8000	0.8492
0.7315	1.7	8500	0.8498
0.7213	1.8	9000	0.8394
0.711	1.9	9500	0.8351
0.7109	2.0	10000	0.8358

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

MatthiasGTZ/FineTuned_NewAmazonReview2

FineTuned_NewAmazonReview2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MatthiasGTZ/
FineTuned_NewAmazonReview2